本文選題：機(jī)械產(chǎn)品 + 質(zhì)量特征�。� 參考：《中南大學(xué)》2013年博士論文

【摘要】：機(jī)械產(chǎn)品質(zhì)量和成本是影響其競爭力的重要因素。本文從產(chǎn)品級(jí)的角度出發(fā),面向具有多元性、動(dòng)態(tài)性、復(fù)雜性的質(zhì)量特征,深入分析產(chǎn)品質(zhì)量特征與其零部件質(zhì)量特征之間的關(guān)系,提出產(chǎn)品質(zhì)量損失建模和公差優(yōu)化設(shè)計(jì)方法,提高產(chǎn)品質(zhì)量,降低產(chǎn)品成本,快速響應(yīng)市場需求變化。 (一)提出了面向多質(zhì)量特征的產(chǎn)品質(zhì)量損失三層次建模方法。充分利用產(chǎn)品生產(chǎn)全過程歷史檢測數(shù)據(jù),應(yīng)用神經(jīng)網(wǎng)絡(luò)、層次分析方法,確定產(chǎn)品零件質(zhì)量、產(chǎn)品質(zhì)量特征、產(chǎn)品質(zhì)量之間的權(quán)重；考慮零部件加工生產(chǎn)過程中的返修成本和報(bào)廢成本,采用分段函數(shù)理論改進(jìn)了田口質(zhì)量損失函數(shù),并根據(jù)質(zhì)量特征服從不同的分布,導(dǎo)出了相應(yīng)的零件質(zhì)量損失；建立了多元產(chǎn)品質(zhì)量損失模型。以微型電動(dòng)機(jī)為例,對(duì)具有多質(zhì)量特征的產(chǎn)品質(zhì)量損失進(jìn)行了計(jì)算與分析,驗(yàn)證了該方法的有效性,為多質(zhì)量特征產(chǎn)品質(zhì)量綜合評(píng)價(jià)提供了解決途徑。 (二)提出了基于服役壽命分布的質(zhì)量損失建模方法。面向產(chǎn)品全壽命周期,定義產(chǎn)品質(zhì)量損失為其投入服役后因產(chǎn)品質(zhì)量特征超出規(guī)定范圍而導(dǎo)致報(bào)廢所造成的損失現(xiàn)值；在此質(zhì)量觀基礎(chǔ)上,應(yīng)用資金折現(xiàn)原理建立了基于服役壽命分布的產(chǎn)品質(zhì)量損失模型；針對(duì)服從不同分布的質(zhì)量特征,提出了基于質(zhì)量特征公差要求的產(chǎn)品服役壽命分布密度函數(shù)計(jì)算方法。結(jié)合三個(gè)實(shí)例,分別對(duì)基于服役壽命分布的望目特征、望小特征和望大特征的產(chǎn)品質(zhì)量損失進(jìn)行計(jì)算與分析,深入討論了產(chǎn)品特征分布參數(shù)和質(zhì)量要求對(duì)質(zhì)量損失的影響,并與田口質(zhì)量損失模型、Teran質(zhì)量損失模型進(jìn)行了比較分析。結(jié)果表明：該產(chǎn)品質(zhì)量損失模型描述了一種產(chǎn)品投入服役后因質(zhì)量特征超出其技術(shù)規(guī)范要求而報(bào)廢給社會(huì)帶來的實(shí)際損失,能夠反映不同產(chǎn)品在不同服役條件和環(huán)境下產(chǎn)生的質(zhì)量損失,將產(chǎn)品質(zhì)量從設(shè)計(jì)制造階段擴(kuò)展到運(yùn)行服役階段,為產(chǎn)品質(zhì)量在全壽命周期的變化規(guī)律研究提供了新的視角。 (三)提出了基于數(shù)據(jù)挖掘的產(chǎn)品公差體系優(yōu)化設(shè)計(jì)方法。從產(chǎn)品廣義公差出發(fā),分析產(chǎn)品各層次質(zhì)量特征的相互影響關(guān)系,建立產(chǎn)品公差體系模型；利用產(chǎn)品制造檢驗(yàn)過程中的歷史數(shù)據(jù),建立了基于支持向量非線性回歸機(jī)的產(chǎn)品質(zhì)量特征偏差與零部件質(zhì)量特征偏差關(guān)系模型,并以微電機(jī)為例,構(gòu)建了產(chǎn)品質(zhì)量特征偏差與零部件質(zhì)量特征偏差關(guān)系支持向量非線性回歸機(jī)(SVNR)模型,并與RegressFunction方法進(jìn)行了比較分析；分析了非尺寸公差與產(chǎn)品成本的關(guān)系,建立了基于產(chǎn)品廣義公差的產(chǎn)品制造成本模型；以產(chǎn)品成本最小為目標(biāo),建立了產(chǎn)品公差體系優(yōu)化設(shè)計(jì)模型。結(jié)果表明：所提出的產(chǎn)品公差體系優(yōu)化方法行之有效,為實(shí)現(xiàn)產(chǎn)品公差設(shè)計(jì)提供了新途徑。 (四)提出了面向用戶性能需求的產(chǎn)品公差體系再設(shè)計(jì)方法。針對(duì)用戶對(duì)產(chǎn)品性能需求不斷變化或增加新的用戶需求,在基于數(shù)據(jù)挖掘的產(chǎn)品公差體系優(yōu)化設(shè)計(jì)方法的基礎(chǔ)上,建立面向產(chǎn)品用戶性能需求的產(chǎn)品公差體系再設(shè)計(jì)優(yōu)化模型；并以微電機(jī)為實(shí)例,分析了微電機(jī)的裝配關(guān)系以及性能影響因素,建立微電機(jī)公差體系模型,再以微電機(jī)制造成本最低為目標(biāo),用戶性能需求為約束,建立微電機(jī)公差體系再設(shè)計(jì)優(yōu)化模型,根據(jù)用戶對(duì)微電機(jī)產(chǎn)品性能的不同需求,進(jìn)行了微電機(jī)公差體系再設(shè)計(jì)優(yōu)化,分析探討了微電機(jī)公差和成本的變化規(guī)律。所提出的公差體系再設(shè)計(jì)優(yōu)化方法能夠根據(jù)用戶性能需求變化直接對(duì)產(chǎn)品公差體系進(jìn)行改進(jìn)優(yōu)化,縮短了產(chǎn)品設(shè)計(jì)與制造周期,快速響應(yīng)市場變化,生產(chǎn)企業(yè)只需在原產(chǎn)品生產(chǎn)系統(tǒng)的基礎(chǔ)上適當(dāng)調(diào)整生產(chǎn)制造系統(tǒng)和質(zhì)量檢驗(yàn)體系,就能使產(chǎn)品既能滿足用戶需求而制造成本又最低,實(shí)現(xiàn)了產(chǎn)品公差設(shè)計(jì)從產(chǎn)品開發(fā)階段到產(chǎn)品全市場周期的擴(kuò)展。
[Abstract]:The quality and cost of mechanical products are the important factors that affect their competitiveness. From the point of view of product level, this paper is oriented to the quality characteristics of multiple, dynamic and complex. This paper analyzes the relationship between the quality characteristics of product and the quality characteristics of parts, and puts forward the method of product quality loss modeling and tolerance optimization design to improve the product. Quality, reduce product cost and respond quickly to market demand changes.
(1) the three level modeling method of product quality loss oriented to multi quality features is put forward, which makes full use of the whole process historical detection data of product production, applies neural network and analytic hierarchy process to determine the weight between product parts quality, product quality characteristics and product quality, and considers the repair costs and reports in the process of parts processing and production. The quality loss function of Taguchi is improved by the piecewise function theory, and the quality loss of the parts is derived according to the quality characteristics. The mass loss model of multiple products is established. The quality loss of the product with multi quality characteristics is calculated and analyzed with the micro motor as an example, and the results are verified. The effectiveness of the method provides a solution for the comprehensive evaluation of product quality with multiple quality characteristics.
(two) a quality loss modeling method based on service life distribution is proposed. The product quality loss is defined as the present value of the loss caused by the discarding of the product quality loss due to the quality characteristics of the product beyond the specified range. Based on this quality concept, the service life span based on the principle of discounted funds is established. In view of the quality characteristics of the cloth, a method for calculating the distribution density function of service life based on the quality characteristic tolerance is proposed in accordance with the quality characteristics of different distribution. Three examples are used to calculate and divide the product quality loss based on the service life distribution. The effect of product characteristics distribution parameters and quality requirements on quality loss is discussed, and the Teran mass loss model is compared with Taguchi mass loss model. The result shows that the product quality loss model describes a product abandonment to society due to the quality characteristic of the product beyond its technical specification. The actual loss can reflect the quality loss of different products in different service conditions and environment, and expand the product quality from the design and manufacturing stage to the operation service stage, which provides a new perspective for the study of the product quality in the life cycle.
(three) the optimization design method of product tolerance system based on data mining is proposed. From the generalized tolerance of product, the interaction relationship between the quality characteristics of the product is analyzed, the product tolerance system model is established, and the product quality based on the support vector nonlinear regression machine is established by using the historical data in the process of product manufacturing inspection. The model of the relationship between characteristic deviation and the quality characteristic deviation of parts is built, and a support vector nonlinear regression machine (SVNR) model is constructed by using the micro motor as an example. The model of support vector nonlinear regression machine (SVNR) is constructed. The relationship between the non dimensional tolerance and the product cost is analyzed and the relationship between the non-dimensional tolerance and the product cost is analyzed, and the relationship between the product cost and the non dimensional tolerance is analyzed. The product manufacturing cost model based on product generalized tolerance is established. The optimization design model of product tolerance system is set up with the goal of minimum product cost. The result shows that the optimization method of product tolerance system is effective and provides a new way to realize product tolerance design.
(four) the redesign method of product tolerance system for user performance needs is proposed. Based on the optimization design method of product tolerance system based on data mining, the product tolerance system redesign optimization model is established on the basis of the product tolerance system optimization design method based on data mining. With the micro motor as an example, the assembly relationship and the factors affecting the performance of micro motor are analyzed, and the tolerance system model of micromotor is set up, and the minimum manufacturing cost of micro motor is the goal, and the user performance requirement is restricted, and the redesign optimization model of the micro motor tolerance system is set up. According to the user's different requirements for the performance of Micromotor products, the model is carried out. The tolerance system of micro motor is redesigned and optimized, and the variation of tolerance and cost of micro motor is analyzed and discussed. The proposed optimization method of tolerance system redesign can improve the product tolerance system directly according to the changes of user's performance requirements, shorten the product design and manufacture cycle, quickly respond to market changes, and only produce enterprises. The production system and quality inspection system should be properly adjusted on the basis of the production system of the original product. The product can meet the needs of the user and make the lowest manufacturing cost. The product tolerance design has been expanded from the product development stage to the whole market cycle of the product.
【學(xué)位授予單位】：中南大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2013
【分類號(hào)】：TH122;O213.2

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