Machine Tool Friction Modeling From Torque-Velocity Simulation Data
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Solution Overview
Problem
Existing technologies require specialized knowledge and trial operations of machine tools to generate a friction model, making it difficult to easily produce an accurate friction model for machine tools.
Innovation Solution
A machining simulation device with a friction model generation unit that determines the type of friction model based on torque and velocity data points and calculates coefficients to generate a friction model, which is then reflected in a simulation execution unit.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If specialized knowledge and trial operations are used to generate a friction model, then the accuracy of the friction model is improved, but the complexity of the process and the time required are increased
Solution Approach 1:
The patent creates a virtual copy of the machine tool through simulation, allowing friction model generation without physical trial operations. The simulation environment replicates machine tool behavior, enabling parameter estimation from simulation data rather than requiring actual machine operations and specialized expertise.
Solution Approach 2:
The system enables automatic friction model generation using readily available machining simulation data without requiring external specialized knowledge or manual trial operations. The estimation process is performed automatically by the control device using standard data from normal machining simulations.
2Measurement precision
If trial operations of the machine tool are executed to generate a friction model, then the friction model accuracy is improved, but the time required and operational overhead are increased
Solution Approach 1:
The friction model is generated in advance during normal machining simulations rather than requiring separate trial operations. The system collects and processes data from regular simulation runs to build the friction model, eliminating the need for dedicated time-consuming trial operations after the model is needed.
Solution Approach 2:
The patent uses simulation data as a virtual substitute for physical trial operations. By analyzing torque and velocity data from simulated machining operations, the system generates accurate friction models without requiring actual machine tool trial runs, thereby saving significant time.
3Ease of operation
If simple methods are used to generate a friction model, then the ease of operation is improved, but the friction model accuracy deteriorates
Solution Approach 1:
The system automatically performs friction model generation using data already available from standard machining simulations. The control device autonomously estimates friction parameters from torque and velocity data without requiring user intervention or specialized knowledge, making the process both simple and accurate.
Solution Approach 2:
The patent introduces a control device as an intermediary that processes simulation data to generate friction models. This intermediary automatically performs the complex estimation calculations, bridging the gap between simple data collection and accurate model generation without requiring user expertise.
Data Source
AI summary
Provided is a machining simulation device comprising a friction model generation unit that generates a friction model of a machine tool and a simulation execution unit that uses the friction model to simulate and reproduce a behavior of the machine tool, wherein the friction model generation unit includes: a model determination unit that determines the type of the friction model according to the number pieces of data relating to a torque and a velocity; and a coefficient calculation unit that calculates a coefficient in the friction model on the basis of the determined type of the friction model and the number of pieces of data relating to the torque and the velocity and wherein the friction model generation unit reflects the generated friction model to the simulation execution unit.