The correlational design method of the dimension tolerance and geometric tolerance for applying material conditions

Author:

Wu Yuguang

Funder

The National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering

Reference26 articles.

1. International standard (2014) Geometrical product specifications (GPS)—geometrical tolerancing—maximum material requirement (MMR), least material requirement (LMR) and reciprocity requirement (RPR). Int Stand ISO 2692:2014

2. ASME Standard (2009) Dimensioning and tolerancing—engineering drawing and related documentation practices, ASME Y14.5M-2009, ASME, USA

3. Jayaraman R, Srinivasan V (1989) Geometric tolerancing: I. Virtual boundary requirements. IBM J Res Dev 33(2):90–104

4. Robinson DM (1998) Geometric Tolerancing for assembly with maximum material parts, In: Elmaraghy HA (ed) geometric design tolerancing: theories, standards and applications. Springer, USA, pp 242–253

5. Etesami F (1991) Position tolerance verification using simulated gaging. Int J Robot Res 10(4):358–370

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1. Containing geometrical tolerances in concurrent optimal allocation of design and process tolerances;The International Journal of Advanced Manufacturing Technology;2024-06-01

2. Including material conditions effects in statistical geometrical tolerance analysis of mechanical assemblies;The International Journal of Advanced Manufacturing Technology;2022-01-22

3. Taking the Effects of Material Conditions into Account in Statistical Tolerance Analysis;2021 12th International Conference on Mechanical and Aerospace Engineering (ICMAE);2021-07-16

4. A rule-based exclusion method for tolerance specification of revolving components;Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture;2019-08-28

5. Ontological model-based optimal determination of geometric tolerances in an assembly using the hybridised neural network and Genetic algorithm;Journal of Engineering Design;2019-04-15

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