An Expert System for Non-traditional Machining Process Selection
نویسندگان
چکیده
A rapid increase in the use of harder and difficult-to-machine metals and alloys has led to the development of nontraditional machining (NTM) processes. In NTM processes, material removal takes place employing mechanical, thermal, electrical, chemical energy or combinations of these energies, without the use of a sharp cutting tool. These advanced machining processes are used to generate intricate and accurate shapes in materials, like titanium, fiberreinforced composites, ceramics, refractories and other difficult-to-machine alloys having higher strength, hardness, toughness and other diverse material properties. As various NTM processes with different capabilities and specifications are available today for a wide range of applications, there is a need for selecting a suitable NTM process for a particular application for effective utilization of its machining capabilities. The past researches reported on the selection of NTM processes using expert systems, mathematical approaches and multi-criteria decision-making models. Most of those methods do not provide due importance on the customers’ requirements. Quality function deployment (QFD) is a customer-focused decision-making tool to integrate needs of the customers with process capabilities. In this paper, a QFD-based expert system in Visual BASIC 6.0 is developed to consider customers’ requirements in NTM process selection decision. Two illustrative examples are provided to demonstrate the applicability of the developed expert system for NTM process selection.
منابع مشابه
Development of Design and Manufacturing Support Tool for Optimization of Ultrasonic Machining (USM) and Rotary USM
Ultrasonic machining (USM) is a mechanical material removal process used to erode holes and cavities in hard or brittle work pieces by using shaped tools, high-frequency and an abrasive slurry. This paper addresses the concept and development of an expert system (ES) for hard and brittle material, such as glass, quartz, diamond, carbides, semi conducting materials, ceramic and graphite which ca...
متن کاملDevelopment of Design and Manufacturing Support Tool for Optimization of Ultrasonic Machining (USM) and Rotary USM
Ultrasonic machining (USM) is a mechanical material removal process used to erode holes and cavities in hard or brittle work pieces by using shaped tools, high-frequency and an abrasive slurry. This paper addresses the concept and development of an expert system (ES) for hard and brittle material, such as glass, quartz, diamond, carbides, semi conducting materials, ceramic and graphite which ca...
متن کاملA digraph-based expert system for non-traditional machining processes selection
The presence of a number of available nontraditional machining (NTM) processes has brought out the idea of selecting the most suitable NTM process for generating a desired shape feature on a given work material. This paper presents a digraph-based approach to ease out the appropriate NTM process selection problem. It includes the design and development of an expert system that can automate this...
متن کاملDevelopment of a QFD-based expert system for CNC turning centre selection
Computer numerical control (CNC) machine tools are automated devices capable of generating complicated and intricate product shapes in shorter time. Selection of the best CNC machine tool is a critical, complex and time-consuming task due to availability of a wide range of alternatives and conflicting nature of several evaluation criteria. Although, the past researchers had attempted to select ...
متن کاملA Fuzzy Based Decision Support Model for Non-traditional Machining Process Selection
Original scientific paper Usages of non-traditional machining processes are rapidly increasing together with increases in demand and usage of high strength, temperature resistant and complex materials. Due to their advantages such as cutting speed, surface quality and economizing, they became a vital process of manufacturing. Because of the conflicting criteria, the selections of appropriate no...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2014