15-01-2014, 04:17 PM
REENGEERING & BENCH MARKING
REENGEERING .doc (Size: 58 KB / Downloads: 70)
ABSTRACT
Applications of reverse engineering (RE) to speeding up a product realization process have gained momentum in recent years. Reverse
engineering is not new; in the broadest sense, it takes whatever methods, manual or computer-aided methods, to duplicate an existing object or system,either hardware or software. This paper presents a reverse engineering(CARE)approach. In this approach, a CMM is used todigitize an existing mechanical object
INTRODUCTION
BENCHMARKING Process consists searching the similar component as per the requirement of the customer, use the feedback of the customer for the modification of the design.
Our Technology must be upgraded according to competitive business.
After the completion of the BENCHMARKING the next stage is the Reverse engineering .
This concept of reverse engineering was first introduced by General Motors and Ford.
METHODOLOGY
The first step in any form of reverse engineering is to gather data on the existing product, usually with a digitizer. The two major types are mechanical and optical or contact and non-contact. There is sharp
distinction as to which to use or when, but type of surface, system accuracy, part complexity, and speed all play a role.
Mechanical probes take data a point at a time by touching a part, or by scanning a surface by drawing the probe along the object. Point gathering is slower than scanning and briefly used for inspection or
where a few points can define a surface. CMMsusually perform this type of digitizing. Although slow, point by point is the most accurate method to
gathering data. Scanning with a probe is faster but slightly less accurate because reads rely on deflection of a sensing element. The challenges in
applying a CMM for digitizing lie in the subsequent steps. One first has to convert the point or scan data into lines and surfaces, and then into a solid model in order to facilitate the downstream applications.
CONCLUSIONS
This paper demonstrated the needs and methodology for CARE, and a case study illustrated our approach. Current research is directed to developing mechanisms to improve the accuracy or reduce the errors in each stage.