Dimensional variation stream modeling of investment casting process based on state space method

Author:

Liu Changhui1,Jin Sun2,Lai Xinmin2,Wang Yulian1

Affiliation:

1. Shanghai Key Laboratory of Digital Manufacture for Thin-walled Structures, Shanghai Jiao Tong University, Shanghai, P.R. China

2. State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, P.R. China

Abstract

Investment casting process produces high-precision castings, but there is a constant demand for improving the process capabilities, including dimensional accuracy and consistency. In this article, a state space modeling approach of investment casting process for dimensional variation is developed. This research focuses on the linear dimensional change (expansion or shrinkage) in the investment casting process. The generation, propagation and accumulation of the dimensional variation in the investment casting process are interpreted. In order to develop a mathematical model to describe the procedure above, a notion, the dimensional variation stream, is employed, and several key concepts, such as dimensional change rate, state vector and process parameter variation vector, are defined. The inherent relationships among these components are uncovered and finally bring about a State Space Model that describes the dimensional variation stream in the whole investment casting process. In the end, the usages of the developed model are illustrated and summarized via studying a case.

Publisher

SAGE Publications

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Effect of mold dwell time on shrinkage defects in investment casting of superalloy turbine blade;The International Journal of Advanced Manufacturing Technology;2024-04-22

2. Study of Error Flow for Hydraulic System Simulation Models for Construction Machinery Based on the State-Space Approach;Actuators;2023-12-29

3. Integrated computational framework for controlling dimensional accuracy of thin-walled turbine blades during investment casting;The International Journal of Advanced Manufacturing Technology;2023-09-27

4. Modeling and experimental study on deformation prediction of thin-walled turbine blades during investment casting process;Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture;2023-01-12

5. Dimensional Precision Control of Large Castings;Precision Forming Technology of Large Superalloy Castings for Aircraft Engines;2021

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