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Abstract

In the background of high-quality development, production factors, productivity and total factor productivity all propose new high standards to enterprises. Research and development (R&D) design stage is the source and key to assure high quality of enterprise products. The quality-induced loss of products in R&D design stage is significantly higher than that in manufacturing stage. Made in China 2025 brings a new opportunity and a higher challenge to China’s machinery manufacturing industry through transforming from low cost competitive advantages to quality-benefit advantages. As the fundamental products of machinery manufacturing industry, mechanical processing products can prevent flaws fundamentally by improving quality characteristics in R&D design stage, thus saving R&D cost effectively and improving product quality and reliability significantly. In this study, a robust design for quality characteristics of tap which is a typical representative of mechanical processing products was proposed. According to theoretical analysis of influencing factors of tap quality characteristics as well as the relevant quality fluctuation caused by influencing factors, its lifespan is the key quality characteristic in R&D design stage. As the key to determine tap lifetime, cryogenic temperature was chosen with soaking time by decision-making and trial evaluation laboratory as two of the most important factors that influence cryogenic treatment in the present study. A functional model between tape lifetime and these two selected factors were constructed through the response surface methodology. Optimized by multivariant optimization process memorise algorithm, the best parameter combination for cryogenic treatment was obtained. Research demonstrates that robust design of product quality characteristics helps enterprises to make product quality better and more quickly, lower operation cost, and improve productivity, thus promoting the high-quality development of enterprises.

Keywords

Quality characteristics robust design mechanical processing products tap lifetime multivariant optimization process memorise algorithm

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Robust design for quality characteristics of mechanical processing products based on algorithm decision-making

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