scholarly journals STEP-NC based reverse engineering of in-process model of NC simulation

2016 ◽  
Vol 86 (9-12) ◽  
pp. 3267-3288 ◽  
Author(s):  
Shixin Xú ◽  
Nabil Anwer ◽  
Charyar Mehdi-Souzani ◽  
Ramy Harik ◽  
Lihong Qiao
Author(s):  
Robert L. Nagel ◽  
Robert B. Stone

This paper presents research that integrates outcome-driven design methods with the more established function-based design methodologies. Outcome-driven design offers a more systematic approach to understanding the opportunity than the traditional and inconsistent means of gathering customer needs by exploring the reasons customers purchase products. These specific customer inputs are mapped to a process modeling technique to first broadly define how a customer will use a product. From this process model, a functional model can be extracted that abstractly captures what must happen within the product boundaries such that the product operates as intended to achieve the customers desired outcomes. An illustrative reverse engineering example is used to demonstrate the methodology. Preliminary case study validation results are discussed along with the conclusions and future work.


2015 ◽  
Vol 12 (4) ◽  
pp. 383-392 ◽  
Author(s):  
Shixin Xu ◽  
Nabil Anwer ◽  
Charyar Mehdi-Souzani

2011 ◽  
Vol 328-330 ◽  
pp. 619-623
Author(s):  
Zhi Yang Li ◽  
Ming Yu Huang ◽  
Hong Ju Hu ◽  
Hong Jun Ni ◽  
Yu Zhu ◽  
...  

Based on the instance of collection the data of complex surface impeller and reconstruction the three-dimensional model, it describes the concepts and basic principles of Reverse Engineering, and discusses the entire process in detail, which are from the data of impeller collected, the impeller three-dimensional model re-Construction, fixture design to NC simulation machining. Solved the design and manufacturing problems of complex surface parts, which can not be solved by the conventional methods.


2008 ◽  
Vol 45 ◽  
pp. 161-176 ◽  
Author(s):  
Eduardo D. Sontag

This paper discusses a theoretical method for the “reverse engineering” of networks based solely on steady-state (and quasi-steady-state) data.


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