個性化定制產(chǎn)品智能設(shè)計模型研究及在真空玻璃中的應(yīng)用
發(fā)布時間：2018-08-11 09:38
【摘要】：隨著“中國制造2025”和“互聯(lián)網(wǎng)+”的提出,傳統(tǒng)制造模式開始向個性化定制的新型制造模式升級轉(zhuǎn)變,基于消費需求動態(tài)感知的產(chǎn)品設(shè)計和研發(fā)受到了越來越多的重視。因此迫切需要邀請客戶參與到產(chǎn)品設(shè)計環(huán)節(jié),并將客戶個性化的需求提煉轉(zhuǎn)換為產(chǎn)品設(shè)計領(lǐng)域的術(shù)語,為定制產(chǎn)品設(shè)計提供決策支持。在此研究背景下,對個性化定制產(chǎn)品智能設(shè)計模型進行研究。本文首先建立客戶個性化需求到工程特性映射模型,利用質(zhì)量功能配置將客戶個性化需求映射為產(chǎn)品設(shè)計的工程特性,并基于最大離差語言多屬性群決策理論,計算工程特性與客戶個性化需求的關(guān)聯(lián)度(即重要度),掌握客戶最關(guān)心的定制產(chǎn)品的功能,為定制產(chǎn)品設(shè)計提供決策支持;借鑒人工免疫系統(tǒng)自學(xué)習(xí)、自組織、自適應(yīng)、記憶等優(yōu)點進行個性化定制產(chǎn)品智能設(shè)計,將提取的工程特性及其重要度作為抗原,輸入基于人工免疫系統(tǒng)個性化定制產(chǎn)品智能設(shè)計模型,模擬抗體產(chǎn)生,親和度計算等,匹配與客戶個性化需求程度最高的產(chǎn)品方案。在智能設(shè)計模型中分為兩步,第一步利用基于人工免疫系統(tǒng)個性化定制產(chǎn)品知識檢索系統(tǒng),確定個性化定制產(chǎn)品初始設(shè)計方案,第二步以“減少溫室氣體排放、安全可靠、節(jié)能環(huán)�！钡睦砟钸M行定制產(chǎn)品的選材和結(jié)構(gòu)優(yōu)化設(shè)計,在產(chǎn)品設(shè)計之初就考慮資源浪費和環(huán)境污染等問題。最后利用數(shù)值模擬的方法對設(shè)計產(chǎn)品的功能進行驗證,保證個性化定制產(chǎn)品的品質(zhì)和可靠性。以個性化定制真空玻璃設(shè)計為例,利用客戶個性化需求到工程特性映射模型提取與客戶個性化需求相關(guān)的工程特性及其重要度,并將這些工程特性及其重要度作為抗原輸入基于人工免疫系統(tǒng)個性化定制產(chǎn)品知識檢索系統(tǒng),確定滿足客戶個性化需求的定制產(chǎn)品初始設(shè)計方案,之后從節(jié)約資源和保護環(huán)境的角度進行產(chǎn)品選材,并利用基于人工免疫系統(tǒng)的智能算法對真空玻璃的支撐物直徑和間距進行優(yōu)化設(shè)計,保證個性化定制真空玻璃良好的保溫性能;最終利用耦合熱傳導(dǎo)-輻射模型對定制真空玻璃的保溫性能進行驗證,仿真結(jié)果顯示個性化定制真空玻璃的傳熱系數(shù)K為0.84Wm-2K-1,表明其保溫性能達到了客戶個性化的需求,同時也證明基于人工免疫系統(tǒng)個性化定制產(chǎn)品智能設(shè)計模型的正確性,可為面向個性化定制的新型制造模式下的產(chǎn)品設(shè)計提供參考。本文提出的個性化定制產(chǎn)品智能設(shè)計模型為面向個性化定制的新型制造模式提供了新思路,在產(chǎn)品設(shè)計階段兼顧客戶個性化需求的同時,將節(jié)約資源、環(huán)保等理念融入到個性化定制產(chǎn)品的設(shè)計中,有助于實現(xiàn)可持續(xù)發(fā)展,并引入數(shù)值模擬的方法對定制產(chǎn)品的功能進行驗證,保證個性化定制產(chǎn)品的品質(zhì)。
[Abstract]:With the development of "made in China 2025" and "Internet", the traditional manufacturing model has been transformed into a new type of customized manufacturing model. More and more attention has been paid to product design and research based on dynamic perception of consumer demand. Therefore, it is urgent to invite customers to participate in the process of product design, and to transform the personalized requirements of customers into terms in the field of product design, so as to provide decision support for customized product design. Under this background, the intelligent design model of customized product is studied. In this paper, the mapping model of customer personalized requirement to engineering characteristic is established, and the customer personalized requirement is mapped to the engineering characteristic of product design by using quality function configuration, and based on the theory of maximum deviation language multi-attribute group decision. To calculate the correlation degree between engineering characteristics and customer's individualized demand (i.e. importance degree), to grasp the function of custom-made product that the customer cares most, to provide decision support for custom-made product design, to learn from artificial immune system self-learning, self-organizing, self-adaptive, Memory and other advantages of personalized customized product intelligent design, the extracted engineering characteristics and their importance as antigen, input based on artificial immune system personalized customized product intelligent design model, simulation antibody production, affinity calculation, etc. Match the product program with the highest degree of customer personalization requirements. The intelligent design model is divided into two steps: the first step is to use the personalized customized product knowledge retrieval system based on the artificial immune system to determine the initial design scheme of the personalized customized product, and the second step is to "reduce greenhouse gas emissions, and be safe and reliable." The idea of energy saving and environmental protection is to select materials and optimize the structure of customized products. The waste of resources and environmental pollution are considered at the beginning of product design. Finally, the function of the designed product is verified by numerical simulation to ensure the quality and reliability of the customized product. Taking the design of customized vacuum glass as an example, using the mapping model of customer's individuation requirement to engineering characteristic, the engineering characteristic and its importance related to customer's individuation requirement are extracted. These engineering characteristics and their importance are used as antigens to input the customized product knowledge retrieval system based on artificial immune system to determine the initial design scheme of customized products to meet the customer's personalized needs. Then the material selection is carried out from the point of view of saving resources and protecting the environment, and the diameter and spacing of the support of vacuum glass are optimized by using the intelligent algorithm based on artificial immune system. Finally, the coupling heat conduction radiation model is used to verify the thermal insulation performance of customized vacuum glass. The simulation results show that the heat transfer coefficient K of the customized vacuum glass is 0.84Wm-2K-1, which indicates that the heat preservation performance meets the customer's individuation requirement, and it also proves the correctness of the intelligent design model of personalized customized product based on artificial immune system. It can provide reference for the product design under the new manufacturing mode of individualized customization. The intelligent design model of personalized customization product proposed in this paper provides a new way of thinking for a new type of manufacturing model oriented to personalized customization. In the stage of product design, it will take account of the individual needs of customers and save resources at the same time. The concept of environmental protection is integrated into the design of customized products, which is helpful to realize sustainable development, and the function of customized products is verified by numerical simulation to ensure the quality of customized products.
【學(xué)位授予單位】：河南科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TQ171.7
[Abstract]:With the development of "made in China 2025" and "Internet", the traditional manufacturing model has been transformed into a new type of customized manufacturing model. More and more attention has been paid to product design and research based on dynamic perception of consumer demand. Therefore, it is urgent to invite customers to participate in the process of product design, and to transform the personalized requirements of customers into terms in the field of product design, so as to provide decision support for customized product design. Under this background, the intelligent design model of customized product is studied. In this paper, the mapping model of customer personalized requirement to engineering characteristic is established, and the customer personalized requirement is mapped to the engineering characteristic of product design by using quality function configuration, and based on the theory of maximum deviation language multi-attribute group decision. To calculate the correlation degree between engineering characteristics and customer's individualized demand (i.e. importance degree), to grasp the function of custom-made product that the customer cares most, to provide decision support for custom-made product design, to learn from artificial immune system self-learning, self-organizing, self-adaptive, Memory and other advantages of personalized customized product intelligent design, the extracted engineering characteristics and their importance as antigen, input based on artificial immune system personalized customized product intelligent design model, simulation antibody production, affinity calculation, etc. Match the product program with the highest degree of customer personalization requirements. The intelligent design model is divided into two steps: the first step is to use the personalized customized product knowledge retrieval system based on the artificial immune system to determine the initial design scheme of the personalized customized product, and the second step is to "reduce greenhouse gas emissions, and be safe and reliable." The idea of energy saving and environmental protection is to select materials and optimize the structure of customized products. The waste of resources and environmental pollution are considered at the beginning of product design. Finally, the function of the designed product is verified by numerical simulation to ensure the quality and reliability of the customized product. Taking the design of customized vacuum glass as an example, using the mapping model of customer's individuation requirement to engineering characteristic, the engineering characteristic and its importance related to customer's individuation requirement are extracted. These engineering characteristics and their importance are used as antigens to input the customized product knowledge retrieval system based on artificial immune system to determine the initial design scheme of customized products to meet the customer's personalized needs. Then the material selection is carried out from the point of view of saving resources and protecting the environment, and the diameter and spacing of the support of vacuum glass are optimized by using the intelligent algorithm based on artificial immune system. Finally, the coupling heat conduction radiation model is used to verify the thermal insulation performance of customized vacuum glass. The simulation results show that the heat transfer coefficient K of the customized vacuum glass is 0.84Wm-2K-1, which indicates that the heat preservation performance meets the customer's individuation requirement, and it also proves the correctness of the intelligent design model of personalized customized product based on artificial immune system. It can provide reference for the product design under the new manufacturing mode of individualized customization. The intelligent design model of personalized customization product proposed in this paper provides a new way of thinking for a new type of manufacturing model oriented to personalized customization. In the stage of product design, it will take account of the individual needs of customers and save resources at the same time. The concept of environmental protection is integrated into the design of customized products, which is helpful to realize sustainable development, and the function of customized products is verified by numerical simulation to ensure the quality of customized products.
【學(xué)位授予單位】：河南科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TQ171.7
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相關(guān)期刊論文 前10條
1 Farshid Abbasi;Alireza Mojtahedi;Mir Mohammad Ettefagh;;Fault diagnosis using noise modeling and a new artificial immune system based algorithm[J];Earthquake Engineering and Engineering Vibration;2015年04期
2 楊濤;楊育;薛承夢;張雪峰;焦W，
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