Recent Developments on Computer Aided Fixture Design: Case Based Reasoning Approaches

Abstract

Fixture design is an important issue in the process of manufacturing. As a critical design activity process, automation in fixture design plays an integral role in linking computer aided designs and computer aided manufacturing. This paper carries out a literature review of computer aided fixture design (CAFD) developments using intelligent methods that have been commonly utilized in automation in the last two decades. The first part of this review considers the steps of fixture design along with the significant researches and requirements of fixtures over time. After that, the paper presents important and relevant research carried out in the field of CAFD using intelligent approaches and the working principles surrounding this issue. The following section concentrates on the details of case based reasoning (CBR) approach, the most successful approach in CAFD. The examination of this approach is carried out based on applications, stages of CBR based systems fixture design, working principles, and pertinent proposed approaches. Lastly, the present drawbacks of the current methods and shortfalls in research are identified for future studies.

Study on Ontological Knowledge Integration of Micromachining for Collaborative Process

“…2), involving component design (T 1 ), process proposal (T 2 ), and fabrication (T 3 ). This model permits recognizing the information modules required within such procedure, and the communications among the tasks [51]. First, the task of component design intends to arrange component model according to the utilizability of resource, technology, and nance as well as quality constraints.…”

Towards Predictive Design: Tracking a CNC Fixture Design Process to Identify the Requirements

“…To support training novice engineers and speed up efficient fixture design development, researchers developed many computer-aided fixture design (CAFD) applications over the decades. The common techniques employed in these applications developed are Rule-Based Reasoning (RBR), Case-based Reasoning (CBR), Genetic Algorithm (GA), Neural Network (NN), Finite Element Method (FEM), and Geometric Analysis [4]. Since this research aims to store and reuse fixture design knowledge to support training novice engineers (rather than automatic CAFD systems), the following literature discussion focuses on advances in the CBR approach.…”

Computer-Aided Design of Traditional Jigs and Fixtures

“…Different approaches have been used in jigs and fixtures design, such as case-based reasoning (CBR), rule-based expert system, genetic algorithm (GA), multi-agent approach, and geometric analysis [11,12].…”