پیاده سازی 224 پروتکل نرم افزار 10303 استاندارد ISO برای برنامه ریزی عملیات خودکار
|کد مقاله||سال انتشار||مقاله انگلیسی||ترجمه فارسی||تعداد کلمات|
|27279||2011||6 صفحه PDF||سفارش دهید||4152 کلمه|
Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : Robotics and Computer-Integrated Manufacturing, Volume 27, Issue 4, August 2011, Pages 729–734
Gashed application landscape and heterogenic systems are still preventing efficient and automated product development. Process planning especially is an important step that determines most of the costs in production or the success of obtaining a potential order. As the step between design and production, process planning is important for manufacturing a product in an economic manner. This paper provides a discussion about necessary requirements for automated process planning and an efficient product development. Additionally we present our intended idea to innovate the product design under the focus of automated process planning. Therefore we present some aspects relating to feature based design, standardized product data representation with ISO 10303 and neutral data exchange with STEP (Standard for The Exchange of Product model data). Relating to this, we are focusing the application protocol (AP) 224 and, because of missing implementations, we reveal our approaches for the implementation of this protocol. This includes the generation of a feature library with the GeneSEZ generator framework that applies the Model-Driven Architecture (MDA) framework developed at the University of Applied Sciences, Zwickau. Another point is the description of an ACIS based library that realizes the visualization of the related geometry. Finally, our implemented EXPRESS interpreter is introduced, which generates necessary files for data exchange with STEP-files. This Design Module (DM) is described in detail
Small- and medium-sized enterprises (SME's) are confronted with intensifying globalization, world economic crisis and highly competitive markets nowadays. Customer orientation, flexibility, wealth of variants and getting along with intensified cost pressure are essential factors of success and also great challenges. In Germany, and especially in Saxony, mechanical engineering is one of the most important branches. Therefore we want to focus our attention especially on machining parts because a great plenty of individual variants of customer inquiries are typical in this area. SME's are forced to give cost estimates as fast and exact as possible to obtain potential orders and execute them cost-effectively afterwards. A very fast created or maybe completely generated quotation is only possible, if the same or similar orders were already executed and all required parameters like manufacturing processes, manufacturing effort or accruing costs can be derived automatically. After receiving an order, the offer data, including cost estimates, design and manufacturing decisions, are required again for initializing the manufacturing process. An optimized product development is then hampered by a very heterogenic software landscape caused by different context-dependent applications resulting in different inconsistent product descriptions or incompatible file formats. For a more efficient product description and interpretation within different application areas modern approaches are focusing not only on geometric product description. The goal is also an enhancement of those geometric models with extended product information and standardized data exchange. Additionally it is pursued to provide complete product information through the entire product life cycle, any information independent from any system, at the right time, on the correct place. In the area of the product design and product modeling, feature technology is a very promising approach. For our purposes, ISO standard 10303 is covering both issues. It provides a solution for integrating application systems from different areas of the product development and the description of complete, extensible, reusable and interpretable product models. Therefore the standard provides so called application protocols (AP). Each protocol covers a special application area of the product life cycle. In this context we have identified application protocol 224 (AP 224) – Mechanical product definition for process planning using machining features – which supports the product description with interpretable features. In this paper we present our ideas about the application of AP 244 for a more efficient product development, continuous product data integration and automated process planning. Additionally we demonstrate our approaches for the implementation of application protocols. Therefore this paper is organized as follows: The second section will discuss current problems of product design and product development in short. Feature technology itself and corresponding terms and concepts as well as our intended solution are presented in section three. Finally we present our current work, including concepts for the implementation of application protocols of the ISO standard 10303.
نتیجه گیری انگلیسی
It is still a matter of fact that heterogenic systems are preventing efficient and automated product development. Different file formats, different logical object representations or inconsistent data mapping is a problem in the area of CAD and CAM systems and can be generalized to nearly all systems that are interacting with others. ISO 10303 defines a language for product development through the entire product life cycle. Through our researches we have realized that there is still a surprising lack of implementations of special application protocols. STEP can optimize the product data exchange and also provides a reference model for a complete product data description through the entire product life cycle. To accept the methodology of AP 224 in the industry, implementing STEP is not enough. We require persuasive applications like an AP 224 CAD tool or our intended process planning system. This paper demonstrated a way to standardize the design phase of PLM by implementing a specific AP. Further research will deal with optimizing process variants with genetic algorithms with respect to the entire manufacturing environment.