CONDITION MONITORING OF CUTTING TOOL WEAR AND PREDICTION OF SURFACE ROUGHNESS
| Author(s) | : | Mr. Shailendra Narayan More |
| Institution | : | OPJS University |
| Published In | : | Vol. 5, Issue 8 — August 2018 |
| Page No. | : | 123-126 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Metal cutting plays an important role in the present day manufacturing. Over the years, the manufacturingindustry has matured by introducing new materials and processes. Superior manufacturing facilities, with the state of theart technology processes are now available, catering to the stringent product requirements, like form, fit and function.They generate surface finishes that produce the right texture enhancing the products aesthetic appeal or satisfying thedesigners functional requirements. The product quality has been built into the product, with every aspect of the processstudied, monitored and excelled. With the advent of computer technology and its allied growth in the software industry,newer computing techniques and algorithms push the technology to its limits and application engineers are curious tostudy the impact of these in various situations that may interest them. As manufacturing brings to life the various abstractdesigns, there exists a huge potential to create newer and newer products by various processes. This moots the study ofthe implication of such algorithms and techniques on these processes with a goal to manufacture better products in ashorter time, keeping the cost aspects low and complying with the quality requirements. This also opens up anotherrelated domain called condition monitoring. Condition monitoring studies are carried out on processes, machines, toolsand the like. It is the periodic or continuous measurement of various parameters that indicate the condition of the tool,stability of the process or condition of the machine. The focus is to avoid producing parts that are out of tolerance orthose which are in non-conformance with the specified finish and to avoid surprise breakdown of the machine itself.
Mr. Shailendra Narayan More, “CONDITION MONITORING OF CUTTING TOOL WEAR AND PREDICTION OF SURFACE ROUGHNESS”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 8, pp. 123-126, August 2018.








