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

Hashemi, Heidar; Shaharoun, Awaluddin Mohamed; Izman, S.; Kurniawan, Denni

doi:10.1155/2014/484928

Cited by 16 publications

(5 citation statements)

References 81 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…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.…”

Section: Process Of Col-ntmtmentioning

confidence: 99%

Study on Ontological Knowledge Integration of Micromachining for Collaborative Process

Liang

2023

J. Adv. Manuf. Syst.

View full text Add to dashboard Cite

In collaborative manufacturing environment, the knowledge integration in collaborative process is very crucial, especially the heterogeneous information distributed among various cooperative suppliers. To tackle the optimization of knowledge consolidation in co-manufacturing, a knowledge integration with ontological framework is proposed in this study. First, by representing the collaborative business activities for cooperative suppliers, an architecture of knowledge integration with ontological schema is generated. The ontological model of knowledge concepts is explored in terms of the analysis of the ontological structure of knowledge. Aiming at the concept, an approach of ontology integration on the basis of ontological similarity is promoted. There are two portions included in this approach, mapping and combination, which are implemented through the analysis of similarity in two ontologies namely universal and regional. To integrate the two ontologies, the relations and restrictions among fields are definitely depicted by the Semantic Web Rule Language. Eventually, the presented framework is illustrated through a case study, and the outcomes satisfy the needs of knowledge combination to assure that the effectiveness of the presented method is confirmed.

show abstract

Section: Process Of Col-ntmtmentioning

confidence: 99%

Study on Ontological Knowledge Integration of Micromachining for Collaborative Process

Liang

2023

J. Adv. Manuf. Syst.

View full text Add to dashboard Cite

show abstract

“…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.…”

Section: Advances In Support System For Fixture Designmentioning

confidence: 99%

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

Vasantha

Purves

Corney

et al. 2022

Advances in Transdisciplinary Engineering

View full text Add to dashboard Cite

Training novice production engineers to design manufacturing fixtures is a time-consuming process involving significant input from experienced experts. Motivated by the vision of providing an intelligent support system for general mechanical design, this paper develops a list of requirements for predictive suggestion mechanisms focused on creating fixtures for holding components during machining. To do this, the email communications between nine novices and one expert during the design of machining fixtures were studied. The analysis classified the expert’s feedback into ten coded themes. The significance of these themes was assessed by quantifying the resulting changes in the CAD models of the fixtures designs and fixture requirements. The identified results lay the foundation for developing a comprehensive CAD predictive suggestion system to support fixture design. Novice designers will benefit from this predictive suggestion system by correcting their design errors in real-time and reducing the need for experts’ time in the training process.

show abstract

“…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].…”

Section: Introductionmentioning

confidence: 99%

Computer-Aided Design of Traditional Jigs and Fixtures

et al. 2021

View full text Add to dashboard Cite

Conventional design of jigs and fixtures has become unsuitable given the requirements of modern technology and complexity and diversity in the production with the rapid update of products. Computer-aided design (CAD) of jigs and fixtures is an effective solution in this direction. The current paper focuses on a computer-aided design of the traditional jigs and fixtures and developed a system containing tailor-made software, created using the Visual Basic programming language and installed on it the viewer screen to show the part. The developed system has been built by connecting Visual Basic programming language to the SolidWorks software on which the part is drawn and saved as STEP AP-203 file format, and the system reads and extracts the data from the STEP AP-203 file. Heuristic rules of feature recognition are pre-prepared for checking the extracted geometric data and deciding which data shape will represent the machining feature; then, the system provides the optimum design of the traditional jigs and fixtures for a group of hollow cylindrical parts that contain a group of cross-holes on the cylinder body, whether perpendicular or offset from the cylinder’s axis, (inclined or inclined offset, or blind or through, by applying pre-prepared heuristic rules for the design of traditional jigs and fixtures.

show abstract

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

Cited by 16 publications

References 81 publications

Study on Ontological Knowledge Integration of Micromachining for Collaborative Process

Study on Ontological Knowledge Integration of Micromachining for Collaborative Process

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

Computer-Aided Design of Traditional Jigs and Fixtures

Contact Info

Product

Resources

About