Computer system Aided Manufacturing CAM

CAM-Computer

The manufacturing environment is increasingly complicated. The need for CAM and PLM tools by the manufacturing engineer, NC programmer or machinist is similar to the need for personal computer help by the pilot of contemporary aircraft systems. The contemporary machinery can’t be properly applied with out this assistance. Today’s CAM systems assistance the complete array of machine tools including, turning, five axis machining and wire EDM. Today‚Äôs CAM user can conveniently generate streamlined tool paths, optimized tool axis tilt for greater feed prices, better tool life and surface finish and optimized Z axis depth cuts also as driving non cutting operations such as the specification of probing motions. Integration with PLM as well as the extended enterpriseLM to integrate manufacturing with enterprise operations from notion via field support in the completed product. To ensure ease of use acceptable to user objectives, modern CAM options are scalable from a stand alone CAM method to a fully integrated multi CAD 3D resolution set. These solutions are produced to meet the full wants of manufacturing personnel including part organizing, shop documentation, resource management and data management and exchange.

First, manufacturing applications have to be concerned together with the precision with which shapes want to be defined, this can be in contrast to other shape modeling applications which mostly focus on appearance, this need spawned a shape representation, that may be unique to mechanical CAD/CAM and presents many algorithmic challenges which might be not present in processing of simpler shape models. Second, CAM researchers require to reason about shapes, instead of just show them or compute effectively defined mathematical properties. Overcoming these issues continues to be the central difficulty in many CAM applications and consequently it is not surprising that all of the papers of this specific problem are concerned with all the processing of geometry. But what has changed is definitely the selection of shape representations researchers are operating with. Significantly less than ten years ago few CAM researchers would have contemplated making use of anything aside from B-rep models. Within this unique concern we are able to see proof of this modify at several unique levels; 1st, at the machine handle level where manufacturing course of action control directions are computed straight from geometric descriptions.

But probably probably the most exotic geometry representation exploited by researchers in this problem will be the Dexel information structure generally used in computationally intensive applications for instance haptic sculpting from which Weihan Zhang, Leu, Peng, and Wei Zhang reconstruct surface data. Furthermore, Miropolsky and Fischer describe how diverse scan data can be processed to extract the sharp options useful for inspection application. In spite of the obvious positive aspects of alternative representations in these papers, the strengths on the B rep structure are exploited by several authors, Li and Shah use different kernel modeller APIs to recognize Mill/Turn options. Similarly Madan, Rao, and Kundra exploit a component’s B-rep data structure to determine die casting options then, in combination with manufacturing heuristics, figure out parting lines. Probably the implicit message from these papers is that in spite of its complexity B-rep technology is now so hugely refined that processes which call for sophisticated geometric queries and function identification is often developed for non trivial components. The paper by Medellin, Corney, Lim, Ritchie, and Davies reinforces this impression because the non-manifold cellular structure obtainable within modern day kernel modellers is used to assistance the automatic subdivision and refinement of massive elements for speedy prototyping production.

The paper by Mervyn, Kumar, and Nee shows how changes in component representations may be utilized to update the fixture design. Therefore, this paper illustrates how two various representations could be coupled and employed to drive each other. Assembly models bring but another amount of complexity and organizational layer inside the representations. Complex assemblies can consist of hundreds of person parts. Hence simulating the assembly procedure presents one of a kind challenges. The Technical Note by Butterfield et al. describes how different individual computer software tools is usually combined within a systematic manner to perform complex assembly simulations. While the right decision of geometric representation can transform a tough trouble into an easy one particular, the downside of possessing lots of formats is the fact that communication in between unique systems becomes harder. Laptop repair miami beach useful link for this issue that’s discussed by Hardwick and Loffredo in an insightful Technical Note around the rationale underlying the STEP-NC Normal. We thank the authors for their contributions to this particular situation and hope that readers will discover that the papers integrated within this issue are a useful contribution for the field and reflect the current trends in this vital topic.