Comparison of Variant and Generative Process planning methods and their Computer Aided Process Planning Presented By- Pratik Patel. Approaches to Computer Aided Process Planning (CAPP). Variant Process Planning, Advantages and Disadvantages. Generative Process. The next stage of evolution is toward generative CAPP (Stage IV). At this stage, process planning decision rules are built into the system. These decision rules.
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This suggests a system in which design information is processed by the process planning system to generate manufacturing process details.
Computer-Aided Process Planning
CAPP integrates and optimizes system performance into the inter-organizational flow. For example, when one changes the design, it must be able to fall back on CAPP module to generate manufacturing process and cost estimates for these design changes.
Similarly, calp case of machine breakdown on the shop floor, CAPP must generate the alternative actions so that most economical solution can be adopted in the given situation. A typical CAPP frame-work is shown in figure Sometimes, the process plans are developed for parts representing a fmily of parts called ‘master parts’. The similiarities in design attributes and manufacturing methods are exploited for the purpose of formation of part families.
A number of methods have been developed for part family formation using coding and classification schemes of group technology GTsimiliarity-coefficient based algorithms and mathematical programming models. The variant process planning approach can be realized as a four step process; 1. Definition of coding scheme 2.
Grouping parts into part families 3. Development of a generqtive process plan 4. Retrieval and modification of standard process plan A number of variant process planning schemes have been developed and are in use.
Generative Process Planning
This system can be used to generate process plan for rotational, prismatic and sheet-metal parts. In the generative CAPP, process plans are generated by means of decision logic, formulas, technology algorithms and geometry based data to perform uniquely many processing decisions for converting part from raw material to finished state. There are two major components of generative CAPP; a geometry based coding scheme and process knowledge in form of decision logic data.
The geometry based coding scheme defines all geometric features for process related surfaces together with feature dimensions, locations, tolerances and the surface finish desired on the features. The level of detail is much greater in a generative system than a variant system.
For example, details such as rough and finished states of the parts and process capability of machine tools to transform these parts to the desired states are provided. Process knowledge cwpp form of in the form of decision logic and data matches the part geometry requirements with the manufacturing capabilities using knowledge base. It includes selection of processes, machine tools, jigs or fixtures, tools, inspection equipments and sequencing operations.
Module G:Computer Aided Process Planning
Development of manufacturing knowledge base is backbone of generative CAPP. The tools that are widely used in development of this database are flow-charts, decision tables, decision trees, iterative algorithms, concept of unit machined surfaces, pattern recognition techniques and artificial intelligence techniques such as expert system shells.
Computer Aided Process Planning. When comapred with manual experience-based process planning, CAPP offers following advantages; Systematic developemnt of accurate and consistent process plans Cap; of cost and lead time of process planning Reduced skill requirements of process planners Increased productivity of process planners Higher level application progams such as cost and manufacturing lead time estimation and work standards can be interfaced.