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Three-Dimensional Force System:Problem Solving

Three-Dimensional Force System:Problem Solving

A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
To solve a three-dimensional force system, first resolve each force into its respective scalar components. Do this using...

Three-Dimensional Force System

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In mechanical engineering, a three-dimensional force system is a system of forces acting in three dimensions, with forces applied along the x, y, and z coordinate axes. The three-dimensional force system is an important concept in mechanical engineering, as it allows engineers to understand and analyze the behavior of objects and structures in three dimensions. By understanding the forces acting on a system, engineers can design more efficient and effective mechanical systems that can withstand...

Two-Dimensional Force System: Problem Solving

Two-Dimensional Force System: Problem Solving

Solving problems related to two-dimensional force systems is an essential aspect of mechanics and engineering. By applying the principles of vector analysis and force equilibrium, one can determine the effect of multiple forces acting on an object in a two-dimensional space.
The first step to solving a two-dimensional force system problem is to draw a free-body diagram of the object under consideration. This diagram helps identify all the external forces acting on the object, including their...

Two-Dimensional Force System

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A two-dimensional system in mechanical engineering involves the analysis of motion and forces in a plane. A two-dimensional force vector can be resolved into its components as:

Static and Kinetic Frictional Force

Static and Kinetic Frictional Force

One of the simpler characteristics of sliding friction is that it is parallel to the contact surfaces between systems, and is always in a direction that opposes the motion or attempted motion of the systems relative to each other. If two systems are in contact and moving relative to one another, then the friction between them is called kinetic friction. For example, kinetic friction slows a hockey puck sliding on ice.
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Related Experiment Video

Updated: Jan 6, 2026

Measurement of Dynamic Force Acted on Water Strider Leg Jumping Upward by the PVDF Film Sensor

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Published on: August 3, 2018

A Virtual Pressure and Force Sensor for Safety Evaluation in Collaboration Robot Application.

Heonseop Shin¹, Sanghoon Kim, Kwang Seo

¹Deptment of Mechanical Engineering, Kyung Hee University, Yongin-si, Gyeonggi-do, 17104, Korea. shs0303@khu.ac.kr.

Sensors (Basel, Switzerland)

|October 9, 2019

Summary

This study introduces a virtual sensor for robot collision safety. It accurately predicts collision forces and pressure before impact, ensuring human safety in collaborative robotics.

Keywords:

collaborative robot collision safety contact force contact pressure virtual sensor

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Last Updated: Jan 6, 2026

Measurement of Dynamic Force Acted on Water Strider Leg Jumping Upward by the PVDF Film Sensor

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Published on: August 3, 2018

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Published on: August 29, 2025

Experimental Methods to Study Human Postural Control

Experimental Methods to Study Human Postural Control

Published on: September 11, 2019

Area of Science:

Robotics
Human-Robot Interaction
Safety Engineering

Background:

Collaborative robots increase human-robot interaction.
Potential for unexpected collisions necessitates safety measures.

Purpose of the Study:

Propose a virtual sensor for estimating robot collision safety.
Ensure human safety during human-robot collaboration.

Main Methods:

Developed a virtual sensor using an analytical contact model.
Incorporated nonlinear physical characteristics and contact surface shape.
Estimated peak collision force and pressure along a predefined path.
Compared predictions with ISO/TS 15066 safety thresholds.

Main Results:

The virtual sensor accurately estimates peak collision force and pressure.
Short computation time allows for real-time safety assessment.
Model predictions align with experimental and finite element simulation results.

Conclusions:

The virtual sensor effectively predicts collision impact.
Reliable safety estimations are crucial for collaborative robot operations.
This technology enhances safety in human-robot collaboration.