Selection of Metal Casting Processes: A Fuzzy Approach

Choosing the right manufacturing process for making a component is an important consideration at the early stages of design. in metal casting process, there are over forty different processes with different capabilities. a designer can benefit from knowing the manufacturing process alternatives available to him. inaccurate process selection can lead to financial losses and market share erosion. in this paper, an automated advisory casting process selection system is designed. the designed system named (cacps) the objectives of this system to solve the problems of process selection and evaluation (ps&e) activities. the designed system depends on methodology for selection and evaluation of process that based on a number of user-specified criteria or requirements. the decision model enables the representation of the designer’s preferences over the decision factors it is based on weighted property index (w.p.i) algorithms to determine the relative importance of each criterion. a compatibility rating between product profile requirements and the alternatives stored in the database for each decision criteria are generation using fuzzy logic (f.l) methodology. these requirements were matched with the capabilities of each process the compatibility ratings are aggregated into single rating of that alternative’s compatibility. a ranked set of compatible alternative processes is out put by the system. this approach has advantages over the existing systems, which are equipped with a decision module or a database.