optimization of machining parameters is very important and the main goal in every machining process. surface finishing prediction is a pre-requirement to establish a center for automatic machining operations. in this research, a neuro-fuzzy approach is used in order to model and predict the surface roughness in dry turning. this approach has both the learning capability of neural network and li...

In die manufacturing industries surface roughness is considered as a vital quality characteristic in order to retain the consumers’ satisfaction. On the other hand, manufacturers want to minimize the machining time which eventually reduces their cost. This research deals with an optimization problem to minimize the machining time (T) for end milling operation on hot die steel (H13), subject to ...

One of the biggest challenges in Aviation industries is milling part features from prismatic blocks to part features with wall and floor thicknesses very similar to sheet metal assemblies. Much research has gone and is still going into machining processes of thin walled components and near net machining. This paper presents an overview in understanding the importance, criticalities and challeng...

In the past many qualified technologies have been established for the manufacture of optical, precision and micro parts as well as precision structured surfaces. In this field mechanical machining processes, like diamond machining, play a dominant role. Novel mechanical manufacturing processes, further development of ultra precision machine tools and the precision machining of challenging mater...

Electro chemical machining is a non conventional machining process to machine conducting hard materials using anodic dissolution. The process parameters are needed to be optimized to get better result of material removal rate (MRR) and surface roughness (SR). In this paper MRR and SR values are optimized by Simulated Annealing (SA) and the effect of input parameters are determined by Taguchi De...

In traditional Computer Numerical Control (CNC) systems, machining parameters are usually selected prior to machining according to handbooks or user’s experience. These practices tend to select conservative parameters in order to avoid machining failure and assure product quality specifications. Less conservative practices try to find optimal machining parameters off-line to increase process pr...

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17-4PH stainless steel is a martensitic precipitation hardening stainless steel that provides an outstanding combination of high strength, good corrosion resistance, good mechanical properties, good toughness in both base metal and welds, and short time, low-temperature heat treatments that minimize warpage and scaling. This valuable alloy is widely used in the aerospace, nuclear, chemical, pet...

5-Axis milling simulations in CAM software are mainly used to detect collisions between the tool and the part. They are very limited in terms of surface topography investigations to validate machining strategies as well as machining parameters such as chordal deviation, scallop height and tool feed. Z-buffer or N-Buffer machining simulations provide more precise simulations but require long com...

The manufacturing industries dealing with machining and tools' manufacturing generate a large amount of data concerning the machining process. However, in most cases, this information is not used in an advantageous strategy as there is no system dedicated for storing and manipulating such data. In order to Use these data to improve efficiency and increase benefit of machining, the cutting datab...