Representation of Manufacturing Environment and Structured Knowledge Base in a CAPP System

Author(s):  
Xiangyu Zhou ◽  
Junqi Yan ◽  
Yi Jin ◽  
Dengzhe Ma ◽  
Zhi-Kui Ling

Abstract Process Planning of a product determines the process activities during its manufacturing process. Transformation of the product from design to its final form by process planning is controlled by its manufacturing environment. In this paper, the systematic representation of a manufacturing environment and a hierarchical data model to represent a process plan is studied and introduced for the flexibility of the Computer Aided Process Planning (CAPP) system and for the integration purpose. An event-driven architecture for the design of general CAPP systems is established based on these models. A CAPP system (U-CAPP) developed by the authors based on these concepts is briefly described.

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.


2012 ◽  
Vol 503-504 ◽  
pp. 182-185
Author(s):  
Li Na Yang

Modern clothing products have diverse styles changing rapidly and complex processing techniques. They are greatly affected by artificial factor and the equipment conditions are differential. In consideration of these characteristics of the products,Based on the design of the clothing manufacturing craft, this thesis develops a generation method of clothing manufacturing process diagram based on interaction to search for the technical method of accelerating the automatic integrated system progress of the clothing manufacturing craft. Since clothing manufacturing process diagram is an important element of clothing process planning, the generation of process diagram is indispensable in the craft design software. CAPP (Computer Aided Process Planning) refers to the decision of the industrial clothing processing craft by clothing parts making use of the functions of numerical calculation, logic and reasoning and etc. of the computer and with the aid of computer hardware and software technology and support environment [1].


Author(s):  
Jhy-Cherng Tsai ◽  
Weirong Tsai

Abstract This paper presents a knowledge-base approach that assists a designer to evaluate possible process plans and associated costs based on tolerancing specifications of the designed part. It is an effort to take dimensional tolerances into computer-aided process planning (CAPP) for cylindrical parts through the usage of databases and knowledge bases. Geometric features with tolerancing specifications in a CAD system are first used to determine possible machining operations that can achieve the specified tolerances based on data from the machining feature database, the process precision grade database, and the precision grade database. Process plans are then generated based on rules and knowledge from process sequence knowledge base and the machining feature database. Possible process plans are further organized as a graph. Optimal process plan with least cost is then selected by searching through the graph. This is achieved based on machine set-up and operation costs that are derived from the machine tool resource database, the process parameter database, and the machine set-up and operation cost database. A CAPP software prototype supporting tolerance design on the AutoCAD platform is also demonstrated with examples to illustrate this approach.


2017 ◽  
Vol 46 (2) ◽  
pp. 97-117 ◽  
Author(s):  
Stylianos Moschonissiotis ◽  
George-Christopher Vosniakos

Programming of computer numerical control (CNC) machining centres using computer aided manufacturing (CAM) software is efficient provided that machining operations and their sequence has been correctly determined by the user. Such decisions, however, are a largely matter of experience. If the user is inexperienced, then Computer Aided Process Planning systems may be employed, but these are usually legacy systems. Thus, normally some prior knowledge has to be induced to the inexperienced user in the form of structured knowledge or rules. After studying a representative number of parts, creating and validating process plans and feeding them to a CAM system some baseline knowledge has been created and structured into rules. Training the user towards applying these rules, or even creation of custom rules is based on part analysis according to a basic reasoning. This is best implemented by advance-organisers of the schematic type regarding part form, process identification, work-holding and setup sequencing, whilst creation of steps or instructions for guiding the process plan generation flow is effected according to the Structure of the Observed Learning Outcome paradigm. The method has been applied to a sizeable audience and preliminary statistical and qualitative evidence on its effectiveness is presented.


Author(s):  
S. Prombanpong ◽  
R. L. Lewis ◽  
A. B. Bishop

Abstract Jigs and fixtures are indispensable tools in various manufacturing processes. These processes include metal removal, assembly, welding, and inspection processes. Not only do jigs and fixtures facilitate the operations, but also provide quick loading/unloading, proper and consistent supporting and locating of a workpiece. As a result, the workpiece can be manufactured economically in proportion to the volume of production. With the advent of computer aided design and computer aided manufacturing together with an increasing power of both computer hardware and software, computerized fixture design systems become feasible and more sophisticated. The current computerized fixture design systems are developed utilizing several approaches ranging from simple interactive placement of fixture components to sophisticated generative systems. However, one of the common drawbacks of these systems is a lack of process planning integration in the fixture design considerations. As a result, the contradiction between fixture design generated by the computerized fixture design system and a process plan generated by a process planner or by computer aided process planning software always occurs. In other words, the fixture set-ups and workpiece orientation are not congruent to the process plan. This paper serves to discuss a solution to the problem mentioned above. A mathematical model was developed to integrate process planning in fixture design considerations. An optimized fixture design system will be presented and discussed. Examples of tested cases are also presented.


2018 ◽  
Vol 24 (6) ◽  
pp. 988-1002 ◽  
Author(s):  
Osama Abdulhameed ◽  
Abdurahman Mushabab Al-Ahmari ◽  
Wadea Ameen ◽  
Syed Hammad Mian

Purpose Hybrid manufacturing technologies combining individual processes can be recognized as one of the most cogent developments in recent times. As a result of integrating additive, subtractive and inspection processes within a single system, the relative benefits of each process can be exploited. This collaboration uses the strength of the individual processes, while decreasing the shortcomings and broadening the application areas. Notwithstanding its numerous advantages, the implementation of hybrid technology is typically affected by the limited process planning methods. The process planning methods proficient at effectively using manufacturing sources for hybridization are notably restrictive. Hence, this paper aims to propose a computer-aided process planning system for hybrid additive, subtractive and inspection processes. A dynamic process plan has been developed, wherein an online process control with intelligent and autonomous characteristics, as well as the feedback from the inspection, is utilized. Design/methodology/approach In this research, a computer-aided process planning system for hybrid additive, subtractive and inspection process has been proposed. A framework based on the integration of three phases has been designed and implemented. The first phase has been developed for the generation of alternative plans or different scenarios depending on machining parameters, the amount of material to be added and removed in additive and subtractive manufacturing, etc. The primary objective in this phase has been to conduct set-up planning, process selection, process sequencing, selection of machine parameters, etc. The second phase is aimed at the identification of the optimum scenario or plan. Findings To accomplish this goal, economic models for additive and subtractive manufacturing were used. The objective of the third phase was to generate a dynamic process plan depending on the inspection feedback. For this purpose, a multi-agent system has been used. The multi-agent system has been used to achieve intelligence and autonomy of different phases. Practical implications A case study has been developed to test and validate the proposed algorithm and establish the performance of the proposed system. Originality/value The major contribution of this work is the novel dynamic computer-aided process planning system for the hybrid process. This hybrid process is not limited by the shortcomings of the constituent processes in terms of tool accessibility and support volume. It has been established that the hybrid process together with an appropriate computer-aided process plan provides an effective solution to accurately fabricate a variety of complex parts.


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