TORQUE

TORQUEMain

Community hub

TORQUE

7 pages, 0 posts

0 subscribers

Recent from talks

Be the first to start a discussion here.

Recent from talks

Be the first to start a discussion here.

Contribute something

About hubMembersContent overviewUpdatesRules

Main reference articles

TORQUE

View on Wikipedia

from Wikipedia

TORQUE
Developer	Adaptive computing
Initial release	2003 (2003)

Stable release	7.0 / 27 January 2023; 3 years ago (2023-01-27)

Written in	ANSI C
Operating system	Unix-like
Size	5 MB
Available in	English
Type	Distributed resource manager
License	Proprietary License (As of June 2018),^[1] OpenPBS version 2.3^[2]^[3] (non-free in DFSG^[4])
Website	adaptivecomputing.com/cherry-services/torque-resource-manager/

The Terascale Open-source Resource and Queue Manager (TORQUE) is a distributed resource manager designed to oversee batch jobs and distributed compute nodes.^[5] It offers control and management capabilities for clusters, aiding in utilization, scheduling, and administration tasks.

TORQUE can be integrated with either the non-commercial Maui Cluster Scheduler or the commercial Moab Workload Manager, providing enhanced functionality and optimization for cluster environments.

Initially based on the Portable Batch System (PBS), the TORQUE community has expanded its capabilities to improve scalability, fault tolerance, and overall functionality. Notable contributors to TORQUE include organizations such as NCSA, OSC, USC, the US DOE, Sandia, PNNL, UB, TeraGrid and other High-Performance Computing (HPC) entities.

As of June 2018, TORQUE is no longer considered open-source software due to licensing issues. It was previously described as open-source software and utilized the OpenPBS version 2.3 license, but was categorized as non-free software according to the Debian Free Software Guidelines.^[1]^[2]^[4]

References

[edit]

^ ^a ^b "Closed Source Software License". Adaptive Computing, Inc. 2018. Retrieved 2018-07-31.
^ ^a ^b Veridian Information Solutions, Inc. (2000). "OpenPBS (Portable Batch System) v2.3 Software License". Cluster Resources, Inc. Archived from the original on 2011-08-20. Retrieved 2011-07-31.
^ "Torque resource manager". Cluster Resources, Inc. 2011. Archived from the original on 2011-07-19. Retrieved 2011-07-31.
^ ^a ^b "The DFSG and Software Licenses - Licenses that are DFSG-incompatible". Debian. 2011-03-27. Archived from the original on 2011-07-25. Retrieved 2011-07-31.
^ TORQUE resource manager, Garrick Staples, SC '06: Proceedings of the 2006 ACM/IEEE conference on Supercomputing, ISBN 0-7695-2700-0

External links

[edit]

Revisions and contributors Edit on Wikipedia Read on Wikipedia

View on Grokipedia

from Grokipedia

TORQUE, an acronym for Terascale Open-source Resource and Queue Manager, is a distributed resource manager designed to oversee batch jobs and compute nodes in high-performance computing (HPC) environments.^[1] It was developed as an open-source solution based on the Portable Batch System (PBS), providing scalable control over distributed computing resources and enabling efficient job submission, scheduling, and management across clusters of varying sizes. However, following a licensing change in 2018, TORQUE is no longer considered open-source software.^[2]^[3] Originating from efforts to advance HPC tools, TORQUE evolved from the Portable Batch System (PBS) and has been widely adopted in government, academic, and commercial settings since its early releases in the 2000s.^[3] It supports fault-tolerant operations, handling clusters with tens of thousands of nodes and jobs spanning hundreds of thousands of processors through multi-threaded, TCP-based communication for high responsiveness.^[3] Key enhancements include extended scheduling interfaces for precise job control, comprehensive logging for usability, and integration with workload managers like Moab to optimize resource utilization, application performance, and service-level agreements in heterogeneous systems.^[1]^[3] Currently maintained by Adaptive Computing, TORQUE's latest version, 7.0.1 (revised July 2023), adds support for modern operating systems such as Ubuntu, Red Hat 8, and SUSE 15, along with features like MIG (Multi-Instance GPU) support and over 100 improvements for reliability and scalability.^[1] With higher adoption than competing resource managers, it remains a cornerstone for HPC batch processing, offering modular add-ons for accounting, grid management, and high-throughput job submission.^[3]

Fundamentals

Definition and Etymology

TORQUE is an acronym for Terascale Open-source Resource and Queue Manager, a distributed resource manager providing control over batch jobs and compute nodes in high-performance computing (HPC) clusters.^[1] It enables efficient submission, scheduling, and management of jobs across distributed systems, supporting scalability from small clusters to those with tens of thousands of nodes.^[3] TORQUE originated as an open-source derivative of the Portable Batch System (PBS), developed in the early 2000s to advance HPC tools.^[3] The name reflects its focus on managing terascale computing resources, emphasizing open-source accessibility for queue-based workload distribution in scientific and engineering environments.

Units and Dimensions

In TORQUE, resource allocation is quantified using units such as nodes, processors (or CPUs), and memory (in megabytes or gigabytes). Jobs request resources via parameters like "ncpus" for processor count and "mem" for memory limits, ensuring fair distribution across the cluster.^[1] These are dimensionless in terms of physical units but tied to hardware specifications, with torque measuring utilization in terms of job slots or walltime (hours:minutes:seconds). For example, a job might specify "-l nodes=1:ppn=16,mem=64gb", allocating one node with 16 processors per node and 64 GB of memory.^[1] Metrics like queue depth or node load are tracked internally, with no direct equivalence to physical units like energy, though system performance scales with total available compute power (e.g., teraflops). This framework supports integration with schedulers for optimizing resource utilization without predefined dimensional formulas beyond hardware constraints.

Mathematical Description

Scalar Torque in Two Dimensions

In two-dimensional planar motion, torque is treated as a scalar quantity that quantifies the tendency of a force to cause rotation about a fixed pivot point or axis perpendicular to the plane.^[4] It depends on the magnitude of the applied force, the distance from the pivot to the point of force application (known as the position vector

\vec{r}

), and the angle between this vector and the force $\vec{F}$

.^[5] The scalar magnitude of torque $\tau$ is calculated as $\tau = r F \sin \theta$ , where $r$ is the length of the position vector, $F$ is the magnitude of the force, and $\theta$ is the angle between $\vec{r}$

and $\vec{F}$

.^[4] Equivalently, this can be expressed using the moment arm—the perpendicular distance from the pivot to the line of action of the force—as $\tau = r_\perp F$ , where $r_\perp = r \sin \theta$ .^[6] This formula arises because only the component of the force perpendicular to $\vec{r}$

(i.e., $F \sin \theta$ ) contributes to rotation; forces aligned with $\vec{r}$

( $\theta = 0^\circ$ or $180^\circ$ ) produce zero torque.^[5] This scalar expression derives from the simplification of the vector cross product $\vec{\tau} = \vec{r} \times \vec{F}$

×F

in a plane, where the cross product yields a vector perpendicular to the plane of motion.^[4] The magnitude of this cross product is $|\vec{\tau}| = r F \sin \theta$

∣=rFsinθ, and in 2D, the result is projected onto the axis normal to the plane, reducing to the scalar form with appropriate sign.^[6] For instance, starting from a point mass on a rigid rod under a tangential force, Newton's second law gives $F = m a_t = m r \alpha$ , where $a_t = r \alpha$ is the tangential acceleration and $\alpha$ is the angular acceleration; multiplying by $r$ yields $\tau = r F = I \alpha$ , with $I = m r^2$ as the moment of inertia, and generalizing to arbitrary angles incorporates the $\sin \theta$ factor.^[5] In 2D analyses, a sign convention assigns direction: torque is positive for counterclockwise rotation and negative for clockwise rotation, aligning with the right-hand rule for the cross product's direction (out of the page for positive, into the page for negative).^[4] The net torque is the algebraic sum of individual torques about the chosen pivot.^[6] A classic example is a seesaw, modeled as a uniform rod pivoted at its center with two masses $m_1$ and $m_2$ at distances $r_1$ and $r_2$ from the fulcrum. The gravitational forces produce torques $\tau_1 = r_1 m_1 g$ (counterclockwise, positive) and $\tau_2 = -r_2 m_2 g$ (clockwise, negative); for equilibrium, $\tau_\text{net} = 0$ implies $r_1 m_1 = r_2 m_2$ , locating the pivot at the center of mass.^[4] In a pulley system, consider a disk of radius $R$ with a cord over it supporting a hanging mass $m$ on one side and another mass on a horizontal surface on the other. The torque from the hanging mass is $\tau = m g R$ (counterclockwise), while friction or the other mass provides opposing torque; net torque determines acceleration, with the moment arm $R$ as the perpendicular distance.^[6]

Vector Torque

In vector form, torque

\vec{\tau}

is defined as the cross product of the position vector $\vec{r}$

from the axis of rotation to the point of application of the force and the force vector $\vec{F}$

, given by the equation $\vec{\tau} = \vec{r} \times \vec{F}$

×F

.^[7] The magnitude of this torque vector is $|\vec{\tau}| = r F \sin \theta$

∣=rFsinθ, where $r$ is the magnitude of $\vec{r}$

, $F$ is the magnitude of $\vec{F}$

, and $\theta$ is the angle between them.^[8] This formulation extends the scalar torque concept from two dimensions, where only the magnitude along a fixed axis is considered, to account for spatial orientation.^[7] The direction of $\vec{\tau}$

is perpendicular to the plane formed by $\vec{r}$

and $\vec{F}$

, determined using the right-hand rule: point the fingers of the right hand in the direction of $\vec{r}$

, curl them toward $\vec{F}$

, and the thumb indicates the direction of $\vec{\tau}$

.^[9] Torque is a pseudovector (or axial vector), meaning it transforms differently under improper rotations compared to polar vectors like force or displacement.^[10] The cross product operation is antisymmetric, such that $\vec{\tau} = -\vec{F} \times \vec{r}$

=−F

×r

, reflecting the reversal of direction if the order of vectors is swapped.^[8] While the addition of multiple torques is commutative, the inherent antisymmetry ensures that the net effect depends on the vectorial summation.^[10] For a rigid body subject to multiple forces, the total torque is the vector sum $\vec{\tau}_{net} = \sum_i \vec{r}_i \times \vec{F}_i$

net=∑ir

i×F

i, where each term represents the torque contribution from an individual force applied at position $\vec{r}_i$

i.^[7] This summation allows for the analysis of rotational tendencies in three-dimensional space, such as in the case of a door pushed at various points, where torques from opposing forces may cancel or reinforce depending on their directions.^[9]

Torque in Three Dimensions

In three dimensions, torque extends the vector formulation by accounting for rotations about arbitrary axes in space, where the direction and magnitude depend critically on the chosen reference point. The torque

\vec{\tau}

about a point O due to a force $\vec{F}$

applied at position $\vec{r}$

relative to O is given by the cross product $\vec{\tau} = \vec{r} \times \vec{F}$

×F

, with components in Cartesian coordinates expressed as $\tau_x = y F_z - z F_y$ , $\tau_y = z F_x - x F_z$ , and $\tau_z = x F_y - y F_x$ .^[11] These components represent the torques associated with rotations in the yz-, xz-, and xy-planes, respectively, and transform as an axial vector under coordinate rotations.^[10] The choice of reference axis or point significantly affects the calculated torque, as shifting the origin changes the position vectors $\vec{r}$

. For a rigid body, the torque about an arbitrary point A relates to the torque about the center of mass (CM) by $\vec{\tau}_A = \vec{\tau}_{\text{CM}} + \vec{R} \times \vec{F}_{\text{net}}$

A=τ

CM+R

×F

net, where $\vec{R}$

is the vector from A to the CM and $\vec{F}_{\text{net}}$

net is the net force on the body.^[12] This transformation parallels the parallel axis theorem for moments of inertia, allowing computation of torques about parallel axes displaced from the CM, though care must be taken for non-parallel shifts.^[10] In practice, selecting the CM or a fixed pivot simplifies calculations, but for general 3D motion, the reference point must align with the desired rotational dynamics. For distributed forces on a body, such as pressure or gravitational fields, the total torque is the vector sum of contributions from each infinitesimal force, computed via integration over the body's volume or surface. While vector addition of torques is commutative in principle, the non-commutative nature of finite 3D rotations implies that sequential application of distributed torques can lead to path-dependent outcomes in complex systems, requiring careful summation about a consistent axis.^[13] A classic example is the torque on a spinning top, where gravity acts at the center of mass, producing a torque about the contact point with the ground that causes precession rather than tipping. The torque $\vec{\tau} = \vec{r}_{\text{CM}} \times m\vec{g}$

CM×mg

is horizontal, perpendicular to both the displacement from the pivot and the vertical gravitational force, leading to a circular motion of the spin axis with precession rate $\Omega = \frac{m g d}{I \omega}$ , where $d$ is the distance from pivot to CM, $I$ is the moment of inertia about the spin axis, and $\omega$ is the spin angular velocity.^[10]^[13] Similarly, in spacecraft attitude control, reaction wheels or thrusters generate precise torques about the CM to adjust orientation in three dimensions, countering external disturbances like gravitational gradients; the required torque components are computed in body-fixed coordinates to maintain desired pointing without net linear acceleration.^[14]

Physical Principles

Relation to Angular Momentum

In rotational mechanics, torque

\vec{\tau}

is defined as the time derivative of the angular momentum $\vec{L}$

, expressed by the equation $\vec{\tau} = \frac{d\vec{L}}{dt}$

=dtdL

.^[15] The angular momentum vector for a particle is given by $\vec{L} = \vec{r} \times \vec{p}$

×p

, where $\vec{r}$

is the position vector from the reference point and $\vec{p} = m\vec{v}$

=mv

is the linear momentum with mass $m$ and velocity $\vec{v}$

.^[15] This relation arises from differentiating $\vec{L}$

with respect to time and applying Newton's second law, yielding the torque as $\vec{r} \times \sum \vec{F}$

×∑F

, analogous to the linear case $\vec{F} = \frac{d\vec{p}}{dt}$

=dtdp

. For a system of particles, the net external torque equals the rate of change of the total angular momentum, $\sum \vec{\tau}_\text{ext} = \frac{d\vec{L}_\text{total}}{dt}$

ext=dtdL

total, where $\vec{L}_\text{total} = \sum \vec{L}_i$

total=∑L

i.^[15] Internal torques from pairwise interactions cancel out under Newton's third law, assuming action-reaction forces act along the line joining particles, leaving only external contributions to alter the system's overall angular momentum.^[16] In the absence of external torque ( $\vec{\tau}_\text{ext} = 0$

ext=0), angular momentum is conserved, so $\vec{L}$

remains constant for isolated systems.^[15] This principle underpins phenomena such as the constant angular momentum of planetary orbits around the Sun, where gravity provides a central force exerting no torque.^[15] The connection between torque and angular momentum was developed within the framework of Newton's laws of motion in the late 17th century and formalized in Lagrange's analytical mechanics in the 18th century, extending principles from linear to rotational dynamics.^[16] Although Newton implied conservation through discussions of spinning bodies like tops in his Principia, explicit vector formulations emerged later through Euler's work, which Lagrange built upon to derive equations of motion without direct reference to torques.^[16]

Relation to Angular Acceleration

In rotational dynamics, torque is the physical quantity that causes a change in the angular velocity of a rotating body, analogous to how force causes linear acceleration in translational motion. For a rigid body rotating about a fixed axis, the net torque

\tau

acting on the body is directly proportional to its angular acceleration

\alpha

, with the constant of proportionality being the body's moment of inertia

I

. This relationship is expressed by Newton's second law for rotation:

\tau = I \alpha,

where

\tau

and

\alpha

are scalars when considering rotation about a single axis.^[17] The moment of inertia

I

quantifies a body's resistance to angular acceleration and depends on its mass distribution relative to the axis of rotation. For a system of point masses,

I

is given by

I = \sum m_i r_i^2

, where

m_i

is the mass of each particle and

r_i

is the perpendicular distance from the axis to the particle. For extended rigid bodies, this extends to an integral over the body's volume,

I = \int r^2 \, dm

, reflecting the distribution of mass elements. In vector form, for more general cases involving principal axes, the relation becomes

\vec{\tau} = \mathbf{I} \cdot \vec{\alpha}

=I⋅α

, where $\mathbf{I}$ is the inertia tensor.^[18] This formulation assumes a rigid body with a fixed axis of rotation, where the moment of inertia remains constant; for non-rigid bodies or variable mass distributions, such as in expanding systems, $I$ may vary, requiring modifications like including a term for the rate of change of $I$ in the torque equation, though derivations of these extensions lie beyond the basic rigid-body case. While angular momentum $\vec{L} = \mathbf{I} \cdot \vec{\omega}$

=I⋅ω

represents the integrated effect of torque over time, the instantaneous relation $\vec{\tau} = d\vec{L}/dt$

=dL

/dt directly yields the acceleration for constant $I$ .^[19] A practical example is the acceleration of a flywheel, a disk-shaped rotor used to store rotational energy. Suppose a constant torque $\tau$ is applied to a flywheel of moment of inertia $I = \frac{1}{2} M R^2$ (for a uniform disk of mass $M$ and radius $R$ ) about its central axis; the resulting angular acceleration is $\alpha = \tau / I$ , allowing the flywheel to speed up from rest, as seen in applications like automotive starters where a small motor delivers torque to rapidly spin up the flywheel and engage the engine.^[20]

Applications in Mechanics

Torque in Statics

In statics, torque plays a central role in analyzing the rotational equilibrium of rigid bodies, where the net torque must be zero to prevent angular acceleration. The condition for rotational equilibrium requires that the sum of all torques about any chosen axis equals zero:

\sum \vec{\tau} = \vec{0}

∑τ

. This principle holds regardless of the pivot point selected, as long as the body's center of mass is at rest and no rotation occurs.^[21] This rotational condition is coupled with the translational equilibrium requirement that the vector sum of all external forces is zero: $\sum \vec{F} = \vec{0}$

. Together, these equations ensure complete static equilibrium, allowing engineers to solve for unknown forces or reaction moments in structures. For instance, in two dimensions, the force balance decomposes into horizontal and vertical components ( $\sum F_x = 0$ and $\sum F_y = 0$ ), while the torque equation provides an additional independent relation, often in the scalar form $\sum \tau_z = 0$ about a chosen pivot.^[21]^[22] Common methods for applying these principles include the method of moments, which systematically calculates torques using the perpendicular distance (moment arm) from the pivot to the line of action of each force, and free-body diagrams to isolate all forces and torques acting on beams, levers, or supports. Torques are computed as $\tau = r F \sin \theta$ , where $r$ is the distance from the pivot, $F$ is the force magnitude, and $\theta$ is the angle between the position vector and the force vector; a consistent sign convention (e.g., counterclockwise positive) is essential. Choosing the pivot at points where unknown reaction forces act eliminates their contributions, simplifying the system of equations.^[21]^[23] A classic example is the ladder leaning against a frictionless wall on a rough floor, where static equilibrium determines the maximum safe climbing distance. Consider a uniform ladder of length $L$ and weight $W$ at angle $\theta$ to the horizontal, with a climber of weight $P$ at distance $d$ from the base. The forces include the ladder's weight at its center, the climber's weight, normal reactions from the floor and wall, and friction at the base. Balancing torques about the base (to exclude floor reactions) gives the torque from the wall normal force $N_w L \sin \theta = W (L/2) \cos \theta + P d \cos \theta$ , while force balances provide the remaining relations; solving gives $d_{\max} \approx 0.766 L$ for parameters like $\theta = 50^\circ$ , friction coefficient $\mu_s = 0.6$ , and $P = 4W$ (as in standard examples). This illustrates how torque analysis predicts tipping or slipping limits.^[22] For a balanced bridge modeled as a simply supported beam, torque equilibrium ensures no net rotation at supports. A uniform beam of length $L$ and weight $mg$ with a load $P$ at distance $a$ from one support experiences upward reactions $R_1$ and $R_2$ at the ends. Torque balance about one support gives $R_2 L = mg (L/2) + P a$ , so $R_2 = [mg L/2 + P a]/L$ , with $R_1$ from vertical force balance; this method of moments calculates reaction torques critical for structural design, as seen in lever-like systems where unequal arm lengths balance disparate loads.^[21]

Torque in Rotational Dynamics

In rotational dynamics, unbalanced torques produce angular acceleration, driving systems away from equilibrium and into motion about a fixed axis. The fundamental relation is Newton's second law for rotation, which states that the net torque

\sum \tau

acting on a rigid body equals the moment of inertia

I

times the angular acceleration

\alpha

\sum \tau = I \alpha

This equation, analogous to the linear form

F = ma

, governs how torques initiate and sustain rotational motion, as derived in classical mechanics texts. When torques vary with time or angular position, the resulting motion can exhibit complex behaviors such as oscillation or damping. For instance, in a simple pendulum, the gravitational torque

\tau = -mgL \sin \theta

varies with displacement angle

\theta

, leading to periodic angular motion described by the small-angle approximation

\alpha \approx -(g/L) \theta

. Similarly, damped rotors, like those in electric motors with frictional torques, experience exponential decay in angular velocity, balancing driving torques against dissipative ones to achieve steady-state rotation. These scenarios highlight how variable torques dictate the evolution of rotational systems beyond constant-acceleration cases. Energy perspectives further elucidate torque's role in rotational dynamics. The work done by a torque over an angular displacement

d\theta

dW = \tau \, d\theta

, integrating to

W = \int \tau \, d\theta

, which equals the change in rotational kinetic energy

\frac{1}{2} I \omega^2

. This principle connects torque to energy transfer, as seen in accelerating systems where net positive work from unbalanced torques increases kinetic energy. For example, in an engine crankshaft, variable combustion torques accelerate the shaft, converting chemical energy into rotational kinetic energy while overcoming inertial resistance. Another illustrative case is a yo-yo unwinding under gravitational torque, where the tension and friction provide counter-torques, resulting in oscillatory descent and ascent as energy alternates between kinetic and potential forms.

Torque in Rigid Body Motion

In the dynamics of free rigid bodies, torque governs the evolution of angular velocity in three-dimensional space, leading to complex behaviors such as precession and tumbling when the body is not constrained to rotate about a fixed axis. Unlike simpler fixed-axis rotations, free rigid body motion involves the interaction between the body's inertia tensor and applied torques, resulting in non-intuitive trajectories that can stabilize or destabilize depending on the principal moments of inertia. This section examines these effects through key governing equations and illustrative examples.^[27] The fundamental description of torque in rigid body motion is provided by Euler's equations, which relate the time derivative of angular velocity to the applied torque in the body's principal axis frame. For a rigid body with principal moments of inertia

I_1, I_2, I_3

along the body-fixed axes, and angular velocity components

\omega_1, \omega_2, \omega_3

, the equations are:

\begin{align} I_1 \dot{\omega}_1 + (I_3 - I_2) \omega_2 \omega_3 &= \tau_1, \\ I_2 \dot{\omega}_2 + (I_1 - I_3) \omega_3 \omega_1 &= \tau_2, \\ I_3 \dot{\omega}_3 + (I_2 - I_1) \omega_1 \omega_2 &= \tau_3, \end{align}

or in vector form,

\mathbf{I} \dot{\boldsymbol{\omega}} + \boldsymbol{\omega} \times (\mathbf{I} \boldsymbol{\omega}) = \boldsymbol{\tau},

where

\mathbf{I}

is the diagonal inertia tensor,

\boldsymbol{\omega}

is the angular velocity vector, and

\boldsymbol{\tau}

is the torque vector. These equations, derived from the general rotational form of Newton's second law in the rotating frame, capture the Coriolis-like coupling terms that arise due to the non-commutativity of rotations in 3D space. They apply to torque-free motion when

\boldsymbol{\tau} = 0

, conserving both angular momentum and kinetic energy, but external torques introduce deviations that can lead to precession or instability.^[28]^[29] A prominent example of torque effects is torque-induced precession, observed in gyroscopes under gravitational torque. For a spinning gyroscope with high angular momentum along its symmetry axis, the weight acting at the center of mass produces a torque

\boldsymbol{\tau} = \mathbf{r} \times m\mathbf{g}

perpendicular to both the pivot-to-center-of-mass vector

\mathbf{r}

and gravity

\mathbf{g}

. Rather than toppling, the gyroscope precesses steadily around the vertical axis with angular rate

\Omega = \frac{m g r}{L}

, where

L

is the spin angular momentum magnitude (the

\sin \theta

factors cancel in the derivation); this occurs because the torque changes the direction of

\mathbf{L}

without altering its magnitude, tracing a horizontal circle. This precession stabilizes the gyroscope against falling, as the rapid spin maintains approximate alignment of

\boldsymbol{\omega}

with the principal axis, and Euler's equations predict this steady motion when the precession rate balances the torque.^[30]^[31] Motion about non-principal axes under torque can exhibit instability, as described by the tennis racket theorem (also known as the intermediate axis theorem). For a rigid body with three distinct principal moments of inertia

I_1 < I_2 < I_3

, rotation about the axis of intermediate inertia

I_2

is unstable: small perturbations in angular velocity cause exponential growth in wobbling, leading to tumbling, whereas rotations about the maximum (

I_3

) or minimum (

I_1

) axes remain stable. This arises from the nonlinear coupling in Euler's equations; for torque-free motion about the intermediate axis, the

\omega_1

and

\omega_3

components grow as

\omega_1 \approx A \cosh(\lambda t)

and

\omega_3 \approx B \sinh(\lambda t)

, with

\lambda = \sqrt{((I_3 - I_2)(I_2 - I_1)/I_2^2) } \omega_2(0)

λ=((I3−I2)(I2−I1)/I22)

ω2(0), demonstrating hyperbolic instability. External torques can exacerbate this, making such rotations impractical for objects like satellites or sports equipment.^[32]^[33] In practical applications, such as spacecraft reorientation, thruster torques are used to control rigid body attitude in free space. Thrusters mounted offset from the center of mass generate controlled torques $\boldsymbol{\tau} = \mathbf{r}_t \times \mathbf{F}_t$ , where $\mathbf{r}_t$ is the thrust vector arm and $\mathbf{F}_t$ is the force impulse, allowing precise maneuvers to align the spacecraft's orientation with mission requirements. For example, during slew maneuvers, sequences of thruster firings solve Euler's equations to achieve time-optimal reorientation while minimizing fuel use, often stabilizing motion about principal axes to avoid tumbling instabilities. This approach is essential for attitude control in torque-free environments, where disturbance torques from gravity gradients or magnetic fields must also be counteracted.^[34]^[35]

Practical and Engineering Contexts

Measurement of Torque

Torque measurement involves quantifying the rotational force applied to an object, typically expressed in units such as newton-meters (N·m). Various devices and techniques are employed in experimental and engineering contexts to achieve precise readings, with methods evolving from mechanical balances to advanced digital sensors. Torsion balances, one of the earliest instruments for torque measurement, consist of a horizontal bar suspended by a thin torsion wire or fiber, allowing small torques to twist the system and produce measurable deflections. These devices are particularly sensitive for detecting weak forces, as the torque

\tau

is proportional to the angular displacement

\theta

via the relation

\tau = \kappa \theta

, where

\kappa

is the torsional constant of the wire. In modern applications, torsion balances are used in precision experiments, such as those probing gravitational interactions at short ranges. Strain gauge dynamometers measure torque by detecting deformations in a rotating shaft or beam equipped with strain gauges, which change electrical resistance under mechanical stress. The torque is calculated from the strain using relationships derived from Hooke's law and beam theory, often amplified and digitized for output. These instruments are widely used in laboratory testing due to their high accuracy and ability to handle dynamic loads up to several thousand N·m. Reaction torque sensors, a subtype, fix one end of the shaft to measure reaction forces without rotation, minimizing inertial errors. Optical encoders contribute to torque measurement by providing high-resolution angular position and velocity data, which can be differentiated to estimate torque in controlled systems via

\tau = I \alpha

, where

I

is the moment of inertia and

\alpha

is angular acceleration. Incremental or absolute optical encoders use light patterns on a rotating disk to generate pulses, achieving resolutions down to arcseconds. They are integrated into dynamometers or motor test stands for real-time feedback, offering advantages in non-contact operation over purely mechanical methods. Calibration of torque-measuring devices ensures traceability to the International System of Units (SI), primarily through deadweight methods where known masses suspended at precise lever arms generate reference torques. For instance, the National Institute of Standards and Technology (NIST) employs lever amplification systems with deadweights up to 10,000 N·m, calibrating sensors by comparing their outputs to these gravitational torques under controlled conditions. This process verifies linearity and hysteresis, with uncertainties as low as 0.01% for high-end instruments. Accuracy in torque measurement is influenced by factors such as friction in bearings or couplings, which can introduce systematic offsets, and misalignment errors that cause eccentric loading and spurious readings. Digital methods, relying on signal processing and microcontrollers, generally outperform analog ones by reducing noise through filtering and averaging, though they require careful shielding against electromagnetic interference. Typical accuracies range from 0.1% to 1% of full scale, depending on the device and calibration rigor. Historically, the Cavendish experiment of 1797–1798 demonstrated torque measurement using a torsion balance to quantify the gravitational constant, where small lead spheres induced torques on test masses, leading to damped oscillations analyzed for the gravitational force. This setup, refined by Henry Cavendish, achieved sensitivities equivalent to torques on the order of 10^{-9} N·m, laying foundational principles for later precision instruments.

Torque in Machines and Devices

In mechanical systems, gear trains are essential for torque multiplication, achieved through the relationship between gear radii or teeth counts. The output torque

M_o

is given by

M_o = M_i \cdot r \cdot \mu

, where

M_i

is the input torque,

r

is the gear transmission ratio (typically

r = r_{\text{out}} / r_{\text{in}}

for simple spur gears, with

r_{\text{out}} > r_{\text{in}}

in reduction setups), and

\mu

is the system efficiency (often 0.9–0.98 for well-lubricated gears).^[36] This multiplication trades rotational speed for higher torque, as output speed

S_o = S_i / r

, preserving power minus losses. Efficiency losses arise primarily from friction in gear meshes, bearing drag, and churning losses in lubricants, reducing

\mu

and thus the effective torque gain; for multi-stage trains, cumulative losses can drop overall efficiency below 90%.^[37] Motors and engines exhibit characteristic torque-speed curves that define their performance in devices. For electric motors, such as DC types, torque decreases linearly from a maximum stall torque at zero speed to zero at no-load speed, following

\tau = \tau_{\text{stall}} (1 - \omega / \omega_{\text{nl}})

, where

\omega

is angular speed and

\omega_{\text{nl}}

is no-load speed.^[38] In internal combustion engines, torque typically rises from low RPM, peaks at an intermediate value (e.g., 3000–5000 RPM for automotive gasoline engines), and then declines due to breathing limitations and inertial effects, enabling peak power at higher RPM via

P = \tau \cdot \omega

.^[39] These curves guide device design, matching load requirements to operating regimes for optimal efficiency. Braking systems rely on frictional torque to decelerate rotating components, generated by contact forces between pads and rotors or drums. The braking torque

\tau_b

\tau_b = \mu_f \cdot F_n \cdot R

, where

\mu_f

is the friction coefficient (typically 0.3–0.5 for automotive pads),

F_n

is the normal force from calipers, and

R

is the effective radius of the friction surface.^[40] This torque opposes motion, converting kinetic energy to heat via sliding friction, with deceleration

a = \tau_b / (I / R_w)

for wheel inertia

I

and radius

R_w

; anti-lock systems modulate

F_n

to prevent skidding while maintaining effective stopping power.^[41] In automotive drivetrains, differentials distribute torque from the engine to the wheels, allowing speed differences during turns while equalizing torque output. An open differential splits input torque equally (50:50) to each wheel under straight-line motion, but during cornering, the outer wheel receives more speed and thus less torque per the relation

\tau_L = \tau_R

while

\omega_L \neq \omega_R

, limited by the path with least resistance.^[42] Limited-slip differentials enhance distribution by using clutches or viscous fluids to transfer up to 60–80% of torque to the wheel with greater traction, improving stability on uneven surfaces without fully locking speeds.^[43]

Human-Generated Torque

Human-generated torque refers to the rotational forces produced by the human musculoskeletal system through muscle contractions acting across joints, fundamental to movements like lifting, twisting, and manipulating objects. In biomechanics, these torques arise from the interaction of muscle forces and the perpendicular distance from the joint's axis of rotation, known as the moment arm. For instance, during isometric elbow flexion, adult males can generate peak torques of approximately 70 N·m, with values varying by joint angle and training status.^[44] Similarly, spinal torques during load lifting can reach up to 500 N·m at the lumbosacral joint (L5-S1), depending on posture, load weight, and lever arm length.^[45] Several physiological factors influence the magnitude and sustainability of human-generated torque. Leverage, determined by limb lengths and moment arm dimensions, plays a critical role; longer moment arms amplify torque for a given muscle force, as seen in knee extensors where extended arms correlate with up to 1.6-fold higher torque-producing capacity independent of muscle volume.^[46] Fatigue from repeated contractions reduces torque output, with dynamic knee extensor torque dropping to about 40% of baseline after a 4-minute protocol in both young and older adults, though absolute declines are more pronounced in the elderly due to baseline weakness.^[47] Age-related decline further impairs torque production, particularly in trunk muscles; by age 80, flexion torque falls to roughly 50% of young adult levels (from ~3.4 N·m/kg to ~1.7 N·m/kg in males), with losses beginning earlier for flexion than extension.^[48] In ergonomics, understanding human-generated torque informs tool and workstation design to mitigate injury risks from repetitive or excessive loading. Handles on tools like screwdrivers should optimize grip diameter (30-50 mm for power grips) to maximize torque exertion while minimizing forearm strain, as larger diameters enhance mechanical advantage but exceed grip strength limits beyond 50 mm.^[49] For repetitive tasks, low-vibration, balanced designs reduce the need for sustained high torques, preventing musculoskeletal disorders like tendonitis.^[50] A practical example is spinal torque during lifting, where stoop postures generate higher L5-S1 torques (up to 500 N·m for 50 kg loads) than squat techniques, increasing low-back injury risk; ergonomic training emphasizes minimizing lever arms through proper body mechanics.^[45] Another is screwdriver use, where Phillips heads demand over six times more axial force than slotted types for equivalent torques due to wedge geometry, leading to elevated wrist and shoulder loads in assembly lines—designs favoring Torx heads alleviate this by eliminating reactive axial components.^[49]

Advanced Topics

Relativistic Torque

In special relativity, the angular momentum

\vec{L}

of a single particle is given by $\vec{L} = \vec{r} \times \vec{p}$

×p

, where $\vec{p} = \gamma m \vec{v}$

=γmv

is the relativistic linear momentum, $\gamma = (1 - v^2/c^2)^{-1/2}$ is the Lorentz factor, $m$ is the rest mass, $\vec{v}$

is the velocity, and $c$ is the speed of light.^[51] This differs from the classical $\vec{L} = m \vec{r} \times \vec{v}$

=mr

×v

by the $\gamma$ factor, which accounts for the increase in effective inertia at high speeds. The relativistic torque $\vec{\tau}$

is defined as the time derivative $\vec{\tau} = d\vec{L}/dt$

=dL

/dt, computed in an inertial frame; however, explicit calculation requires care due to the frame-dependence of $\vec{r}$

and $\vec{p}$

, often simplifying in the particle's instantaneous rest frame where $\vec{\tau}$

aligns with classical expectations but with adjusted magnitudes.^[52] A key relativistic effect modifying torque interpretations is Thomas precession, which introduces torque-like behavior without external forces in accelerated frames. For a spinning particle undergoing velocity boosts, successive Lorentz transformations cause the spin angular momentum to precess around the velocity direction at angular velocity $\vec{\omega}_T \approx -\frac{1}{2c^2} \vec{v} \times \vec{a}$

T≈−2c21v

×a

, where $\vec{a}$

is the acceleration; this is a geometric consequence of non-commuting boosts in special relativity. In the lab frame, this manifests as an apparent torque $\vec{\tau}_T = \vec{s} \times \vec{\omega}_T$

T=s

×ω

T on the spin $\vec{s}$

, even though no physical torque acts in the instantaneous rest frame, resolving apparent violations of angular momentum conservation. This effect is crucial in contexts like spin-orbit coupling, where it provides a factor-of-1/2 correction to naive relativistic predictions.^[53] The classical definition of torque approximates relativistic behavior well for speeds $v \lesssim 0.1c$ , where $\gamma \approx 1 + \frac{1}{2}(v/c)^2 < 1.005$ , making corrections to $\vec{L}$

and $\vec{\tau}$

smaller than 0.5% and negligible for most engineering applications. Beyond this regime, deviations grow rapidly, with Thomas precession becoming significant for $v > 0.3c$ .^[53] In particle accelerators like synchrotrons, relativistic torque arises from magnetic fields guiding near-light-speed particles, where $\vec{\tau} = \vec{r} \times (\vec{v} \times \vec{B})$

×(v

×B

) (in natural units) incorporates $\gamma$ enhancements to maintain orbital stability, essential for achieving energies in the TeV range. Similarly, in astrophysical relativistic jets from active galactic nuclei, torques from accretion disks propel plasma at $v \approx 0.99c$ , with relativistic corrections amplifying torque magnitudes by factors up to 100 compared to Newtonian estimates, driving collimation and energy transport over kiloparsec scales.

Torque in Field Theories

In field theories, torque manifests as the rotational effect induced by interactions between matter and pervasive fields, such as electromagnetic or gravitational fields, extending beyond localized mechanical forces. This section examines key instances in electromagnetic, gravitational, and quantum contexts, where torques arise from field gradients or asymmetries acting on dipoles or extended bodies. In electromagnetism, a magnetic dipole moment

\vec{m}

experiences a torque $\vec{\tau} = \vec{m} \times \vec{B}$

×B

when placed in an external magnetic field $\vec{B}$

, analogous to the alignment of a compass needle but generalized to arbitrary orientations. This cross-product form indicates that the torque magnitude is $\tau = m B \sin \theta$ , where $\theta$ is the angle between $\vec{m}$

and $\vec{B}$

, tending to align the dipole with the field lines while storing potential energy $U = -\vec{m} \cdot \vec{B}$

⋅B

. This expression derives from the Lorentz force acting on the equivalent current loop of the dipole and is fundamental to phenomena like nuclear magnetic resonance and the orientation of planetary magnetic fields.^[54] Gravitational fields produce torques through tidal interactions, particularly in binary systems where differential gravity deforms the components, generating misaligned bulges that exert mutual torques. In compact object binaries, such as neutron star pairs, these tidal torques facilitate angular momentum transfer from the orbit to the spins of the bodies, leading to orbital decay and inspiral over time. For instance, the torque scales with the tidal Love number and orbital separation, contributing to the emission of gravitational waves in merging systems. A terrestrial example is the precession of Earth's rotational axis, driven by the lunar tidal torque on the planet's equatorial bulge, which applies a gravitational pull that slowly rotates the axis in a 26,000-year cycle known as lunisolar precession.^[55]^[56] In quantum contexts within magnetic materials, spin torque emerges from the transfer of angular momentum via spin-polarized currents, exerting a torque on the local magnetization vector. This spin-transfer torque (STT) enables efficient switching of magnetic states in nanoscale devices, as described by the Landau-Lifshitz-Gilbert equation augmented with a Slonczewski term $\vec{\tau} \propto \vec{m} \times (\vec{m} \times \vec{p})$

∝m

×(m

×p

), where $\vec{p}$

is the polarization direction. It underpins spintronic applications like magnetic random-access memory (MRAM), where currents below a critical threshold stabilize domains against thermal fluctuations.^[57]

History

TORQUE

Recent from talks

Recent from talks

Contribute something

Contribute something

Media Pages

Timelines

Articles

Notes collections

Notes

Notes

Days in Chronicle

TORQUE

See also

References

External links

TORQUE

Fundamentals

Definition and Etymology

Units and Dimensions

Mathematical Description

Scalar Torque in Two Dimensions

Add your contribution

Related Hubs

Contribute something