Modeling and Representation of Manufacturing Knowledge for DFM Systems

Author(s):  
Zuozhi Zhao ◽  
Jami Shah

The manufacturing knowledge today spans a vast spectrum, from manufacturing process capability/constraint, precedence, algorithms/heuristics of performing feature recognition, process planning and manufacturing time/cost estimation, to Design for Manufacturing (DfM) tactics and strategies. In this paper, different types of manufacturing knowledge have been identified and the ways to represent and apply them are described. An information model is developed as the backbone to integrate other existing tools into the framework. A computational framework is presented to help the manufacturing knowledge engineers formulize their knowledge and store it into the computer, and help the designers systematically analyze the manufacturability of the design.

2013 ◽  
Vol 392 ◽  
pp. 931-935
Author(s):  
M.A. Saleh ◽  
H.M.A. Hussein ◽  
H.M. Mousa

This paper describes computer aided process planning for a freeform surface; sheet metal features. Automotive body panels are always manufactured using thin forming sheets; the developed CAPP system consists of two modules which are feature recognition module based on STEP AP203 and a process plan module; two additional modules for automotive panel CAPP system and cost estimation module are also incorporated in the system of punch and bending operation. Stamped or punched features in generative shape design are used to design automotive panels; the generative CAPP system is written in visual basic 2008 language and implemented in several case studies demonstrated in the present work. Feature recognition of punched; stamped internal features in free form surface recognized in base of data exchange files using STEP AP203 ISO-10303-21.


Author(s):  
Arkopaul Sarkar ◽  
Dusan Sormaz

Distributed computer integrated manufacturing is increasingly adopting cloud computing, software-as-a-service (SaaS) and multi-agent systems as steps towards “design anywhere, build anywhere” strategy. In this scenario, foundation ontologies not only serve as common message exchange structure among distributed agents but also provide reasoning service to extract implicit knowledge from explicit information already stored in the knowledge base. Foundation ontologies, comprised of most general concepts of a domain, provide a common semantic structure to the domain-level ontologies, which capture details of multi-disciplinary manufacturing knowledge. In this paper, foundation ontology for manufacturing process planning is proposed and manufacturing process selection information of a sample prismatic design feature is modeled using the proposed foundation ontology, as a case study.


2014 ◽  
Vol 598 ◽  
pp. 591-594 ◽  
Author(s):  
Li Yan Zhang

ISO 14649, known as STEP-NC, is new model of data transfer between CAD/CAM systems and CNC machines. In this paper, the modeling based on machining feature is proposed. The machining feature comes from the manufacturing process considering the restriction of machining technology and machining resource. Then the framework for computer aided process planning is presented, where the algorithms of operation planning is studied. The practical example has been provided and results indicate that machining feature based model can integrate with CAPP and STEP-NC seamlessly.


Author(s):  
M. Marefat ◽  
J. Britanik

Abstract This research focuses on the development of an object-oriented case-based process planner which combines the advantages of the variant and generative approaches to process planning. The case-based process planner operates on general 3D prismatic parts, represented by a collection of features (eg: slots, pockets, holes, etc.). Each feature subplan is developed by the case-based planner. Then the feature subplans are combined into the global process plan for the part via a hierarchical plan merging mechanism. Abstracted feature subplans correspond to cases, which are used in subsequent planning operations to solve new problems. The abstracting and storing of feature subplans as cases is the primary mechanism by which the planner learns from its previous experiences to become more effective and efficient. The computer-aided process planner is designed to be extensible and flexible through the effective use of object-oriented principles.


Author(s):  
Farayi Musharavati ◽  
Napsiah Ismail ◽  
Abdel Majid S. Hamouda ◽  
Abdul Rahman Ramli

Proses perancangan pembuatan adalah berkaitan dengan keputusan berdasarkan pemilihan tatarajah yang optimum daripada modul proses untuk pemprosesan bahagian kerja. Untuk pembentukan semula barisan pembuatan bagi pelbagai bahagian kerja, keputusannya dipengaruhi jenis proses yang sedia ada, hubungkait jujukan pemprosesan dan juga aturan pemprosesan bahagian kerja tersebut. Keputusan proses perancangan pembuatan mungkin bercanggah, oleh itu tugasan membuat keputusan perlu mengambil kira cara setemu. Kertas kerja ini membentangkan teknik optima untuk masalah berkaitan proses perancangan pembuatan dalam rangka kerja pembuatan pembentukan semula. Proses MPP dimodelkan sebagai masalah pengoptimuman dan keadah penyelesaian yang diperolehi daripada teknik metahuristik dikenali sebagai simulasi penyepuhlindapan. Fungsi analisis bagi memodel proses perancangan pembuatan adalah berdasarkan pengetahuan mengenai proses dan sistem pembuatan serta kekangan proses. Applikasi bagi pendekatan ini ditunjukkan melalui barisan pembuatan pembentukan semula berbilang tahap siri selari. Keputusan menunjukkan penambahbaik yang signifikasi diperolehi dalam penyelesaian untuk masalah jenis ini dengan menggunakan simulasi penyepuhlindapan. Tambahan pula, teknik metaheuristik berkebolehan untuk mengenal pasti kaedah proses pembuatan yang optima berdasarkan senario pengeluaran yang diberi. Kata kunci: Metaheuristik, simulasi penyepuhlindapan, proses perancangan pembuatan, sistem pembuatan pembentukan semula, senario pembuatan Manufacturing process planning (MPP) is concerned with decisions regarding selection of an optimal configuration for processing parts. For multiparts reconfigurable manufacturing lines, such decisions are strongly influenced by the types of processes available, the relationships for sequencing the processes and the order of processing parts. Decisions may conflict, hence the decision making tasks must be carried out in a concurrent manner. This paper outlines an optimization solution technique for the MPP problem in reconfigurable manufacturing systems (RMSs). MPP is modelled in an optimization perspective and the solution methodology is provided through a metaheuristic technique known as simulated annealing. Analytical functions for modelling MPP are based on knowledge of processes available to the manufacturing system as well as processing constraints. Application of this approach is illustrated through a multistage parallel–serial reconfigurable manufacturing line. The results show that significant improvements to the solution of this type of problem can be gained through the use of simulated annealing. Moreover, the metaheuristic technique is able to identify an optimal manufacturing process plan for a given production scenario. Key words: Metaheuristics, simulated annealing, manufacturing process planning, reconfigurable manufacturing systems, production scenarios


Author(s):  
Ainhoa Martinez Ormaetxea ◽  
Andreas Öchsner

The manufacturing process of bone scaffold structures has an important influence on the final mechanical strength of the structure. When the structures are not produced properly, i.e. have imperfections such as missing parts or slightly displaced joints, they lose some of their mechanical properties. The aim of this study was to see how different types of damage affect the structures and also if their effects are equal when the structure is subjected to different load conditions. The change of the mechanical behavior was determined using the commercial finite element software MSC Marc Mentat. In turn, the damage was introduced by manipulating the structure’s files (ASCII data files) using the programming language Fortran. Apart from the numerical simulations, experimental testing was also performed to verify the numerical results. In the frame of this study, useful information for further research is provided.


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