Concurrent Design and Process Planning of Rotational Parts

Domazet, Dragan; Lu, Stephen C.-Y.; Kalajdžić, Milan

doi:10.1016/s0007-8506(07)61180-9

Cited by 21 publications

(4 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Design tools that balance assembly and disassembly requirements are described by Molloy et al [114]. Multiple rule bases are used by Domazet et al [115] to influence early stage design decisions according to different manufacturing perspectives. Wilhelm and Lu [116] developed a design synthesis approach that allows design requirements and fabrication strategies to be traded off via a parametric negotiation.…”

Section: Related Cirp Efforts and Initiativesmentioning

confidence: 99%

A Scientific Foundation of Collaborative Engineering

et al. 2007

View full text Add to dashboard Cite

Collaborative engineering is the practical application of collaboration sciences to the engineering domain. In today's highly connected technology-driven economy, the production industry must rely on the best practices of collaborative engineering to stay competitive when designing, manufacturing and operating complex machines, processes, and systems on a global scale. Despite its importance, collaborative engineering is currently more of a practiced art than a scientific discipline. A better understanding of how engineers should collaborate with all stakeholders to accomplish complex tasks that fulfill our increasing social responsibilities is a grand challenge. However, because we currently lack well-defined sciences of human collaboration, we must first establish a scientific foundation of collaborative engineering to develop this emerging field into a rigorous discipline. This paper reports on the CIRP community's collective efforts to establish such a scientific foundation according to the "Observation Hypothesis Theory" development pathway. Our objective is to spearhead the rigorous development of this new human-centered engineering discipline, so that useful knowledge can be generated to educate students and practical guidelines can be developed to enable engineers to become more productive collaboration leaders in the new global production industry.

show abstract

Section: Related Cirp Efforts and Initiativesmentioning

confidence: 99%

A Scientific Foundation of Collaborative Engineering

et al. 2007

View full text Add to dashboard Cite

show abstract

“…However, it is a difficult task that requires ''material, shape and process'' to be ''considered simultaneously'' [7]. Process planning is sometimes considered to be a problem of requirements and information gathering [5,8,9], knowledge and information management [5,[10][11][12][13], or decision making [3]. However, these perspectives are based on an assumption that all required information can be obtained.…”

Section: Introductionmentioning

confidence: 99%

Process chain modeling and selection in an additive manufacturing context

Thompson

Stolfi

Mischkot

2016

CIRP Journal of Manufacturing Science and Technology

View full text Add to dashboard Cite

“…A tendency to use mixed techniques of knowledge representation, including combinations of frames, rules and networks, was inherent to the next generation of CAPPES designed. They are Turbo-CAPP (Wang and Wysk 1987), DPP (Iwata and Fukuda 1989), XROT (Domazet and Lu 1992), etc. As a rule, those systems operated with a restricted piece of the machining domain knowledge and covered a few process planning subtasks, e.g., operations selection, tool selection, grouping operations.…”

Section: Introductionmentioning

confidence: 99%

Building a logical model in the machining domain for CAPP expert systems

Kryssanov¹,

Kleshchev²,

Fukuda³

et al. 1998

International Journal of Production Research

View full text Add to dashboard Cite

Recently, extensive efforts have been made on the application of expert system technique to solving the process planning task in the machining domain. This paper introduces a new formal method to design CAPP expert systems. The formal method is applied to provide a contour of the CAPP expert system building technology. Theoretical aspects of the formalism are described and illustrated by an example of know-how analysis. Flexible facilities to utilize multiple knowledge types and multiple planning strategies within one system are provided by the technology.

show abstract

Concurrent Design and Process Planning of Rotational Parts

Cited by 21 publications

References 8 publications

A Scientific Foundation of Collaborative Engineering

A Scientific Foundation of Collaborative Engineering

Process chain modeling and selection in an additive manufacturing context

Building a logical model in the machining domain for CAPP expert systems

Contact Info

Product

Resources

About