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By Dongming Guo, Jun Wang, Zhenyuan Jia, Renke Kang, Hang Gao (eds,)

This distinctive quantity is an element 2 of a mini-series on, “Materials production technology and know-how XII”. It covers 3 subject matters: glossy layout thought & method, MEMS & nanotechnology, fabrics technology & know-how in production. awarded here's a number of one hundred twenty five papers chosen from over 510 papers initially submitted by means of universities and business matters around the globe. all the papers were peer-reviewed. The papers chosen for this quantity have been selected at the foundation in their caliber and their relevance to the subject. This paintings displays the most recent advancements during this box; working the gamut from basics to new suggestions and applications.

This publication therefore presents a priceless reference paintings for researchers within the fabrics production technological know-how and know-how fields who desire to comprehend extra the underlying mechanisms and to create new and useful applied sciences, structures and processes.

It covers subject matters reminiscent of: complicated production expertise and gear, sleek layout idea and technique, MEMS and nanotechnology, fabrics technology and expertise in production, production structures and automation. it's going to even be quite helpful to practising engineers in precision production who're accountable for making sure effective and powerful operations.

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Extra resources for Advances in Materials Manufacturing Science and Technology 13, Volume 2: Modern Design Theory and Methodology, MEMS and Nanotechnology, Material Science and Technology in Manufacturing

Example text

This prototype is physically represented as functional surfaces and contains information on product structural and functional features such as structural character, assembly ability, and mechanical features. f1: Mapping from functional domain to conceptual product. In this stage, product prototype is “division and growing” into a conceptual structure representing the property and functionality of the product. The automatic reasoning process from functional requirement to conceptual structure based on product prototype decomposition is similar to the “cell division and growing” process of biology.

Different discipline differs in viewing the product or its components. One discipline explains the function, the behavior and the structure of the component and builds the discipline view model Dongming Guo, Jun Wang, Zhenyuan Jia, Renke Kang, Hang Gao, and Xuyue Wang 33 (DVM) of the component with its own professional knowledge from its own view. Generating DVM has two meanings: 1. Generate the discipline subclass of the CC (CDC) by inheriting the attributes of the CC and adding the own attributes of this discipline.

Just like there are similarities among different living creatures, there are similarities among structures of different parts, and these similarities can be described by some typical parts through the way of standardization, modularization and serialization of the product, then these typical parts can be used to satisfy the new requirement of a new product through retrieving of the similar component and making the corresponding modification to it. During mapping f1 and f2 in product growth design, dynamic information in evolution information module, such as information about the decision of material, form, product configuration, feature, can be re-used in related problems to advantage.

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