An In-Process Surface Roughness Recognition System in End Milling Operations
نویسندگان
چکیده
منابع مشابه
Development of a fuzzy-nets based adapted surface roughness control (FNASRC) system in end-milling operations
A fuzzy-nets based in-process adaptive surface roughness control (FNASRC) system was developed in this research. The FNASRC system was able to adapt cutting parameters in-process and in a real time fashion to improve the surface roughness of machined parts when the surface roughness quality was not meeting customer requirements in the end milling operations. The FNASRC system was comprised of t...
متن کاملSurface topography in ball end milling process: Description of a 3D surface roughness parameter
In the field of free-form machining, CAM software offers various modes of tool-path generation, depending on the geometry of the surface to be machined. Manufactured surface quality results from the choice of machining strategy and machining parameters. The objective of this paper is to provide a 3D surface roughness parameter that formalizes the relative influence of both machining parameters ...
متن کاملPrediction of Surface Roughness by Hybrid Artificial Neural Network and Evolutionary Algorithms in End Milling
Machining processes such as end milling are the main steps of production which have major effect on the quality and cost of products. Surface roughness is one of the considerable factors that production managers tend to implement in their decisions. In this study, an artificial neural network is proposed to minimize the surface roughness by tuning the conditions of machining process such as cut...
متن کاملSurface Roughness Optimization in End Milling Operation with Damper Inserted End Milling Cutters
This paper presents a study of the Taguchi design application to optimize surface quality in damper inserted end milling operation. Maintaining good surface quality usually involves additional manufacturing cost or loss of productivity. The Taguchi design is an efficient and effective experimental method in which a response variable can be optimized, given various factors, using fewer resources...
متن کاملSurface roughness monitoring application based on artificial neural networks for ball-end milling operations
Surface roughness plays an important role in the performance of a finished part. The roughness is usuallymeasured off-line when the part is already machined, although in recent years the trend seems to have been to focus on online monitoring. Measuring and controlling the machining process is now possible thanks to improvements and advances in the fields of computers and sensors. The aim of thi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Journal of Technology Studies
سال: 2004
ISSN: 1541-9258
DOI: 10.21061/jots.v30i2.a.6