Analysis and optimization of tolerance design for an internal thread grinder

Machining accuracy is an important index for evaluating the performance of machine tools. To improve the machining accuracy and efficiency of an internal thread grinding machine and reduce the cost, this paper carries out a forward design of the tolerance of the tool motion axis based on the require...

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Bibliographic Details
Published inInternational journal of advanced manufacturing technology Vol. 125; no. 11-12; pp. 5369 - 5383
Main Authors Jiang, Qiao, Ou, Yi, Zou, Yun, Zhou, Chang-Guang, Huang, Sen, Qian, Chao-Qun
Format Journal Article
LanguageEnglish
Published London Springer London 01.04.2023
Springer Nature B.V
Subjects
Accuracy
Axis movements
CAE) and Design
Computer-Aided Engineering (CAD
Design optimization
Engineering
Error analysis
Geometric accuracy
Grinding machines
Industrial and Production Engineering
Machine tools
Machining
Mechanical Engineering
Media Management
Monte Carlo simulation
Multibody systems
Original Article
Performance evaluation
Reliability
Sensitivity analysis
Statistical analysis
System theory
Systems theory
Thread grinding
Thread grinding machines
Variance analysis
Workpieces
Precision
Wheel profile
Ball nuts
Machining accuracy
Monte Carlo simulation
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Summary:Machining accuracy is an important index for evaluating the performance of machine tools. To improve the machining accuracy and efficiency of an internal thread grinding machine and reduce the cost, this paper carries out a forward design of the tolerance of the tool motion axis based on the required precision of the workpiece. Using the parameters of a nut raceway, a calculation model of a sand profile under ideal conditions is established under the principle of spiral surface machining and gear meshing. The tolerance criteria are used to evaluate the machining accuracy through multi-body system theory, Monte Carlo simulation, and least squares fitting. Global sensitivity analysis based on variance is used to identify the key factors influencing error. Finally, statistical analysis is completed with the Monte Carlo method to obtain the reliability of machining accuracy. The geometric design is optimized according to reliability to ensure that the tolerance zone meets the required machining accuracy. The feasibility of this method is verified by designing 30 error tolerance zones for an SCS-180 T grinder.
ISSN:0268-3768
1433-3015
DOI:10.1007/s00170-023-11036-6