Milling As One Of The Basic Machining Processes

Milling is one of the basic machining processes which is widely used in the manufacturing industries like Architectural, Window frames, Shop fittings, cycle indus-tries, etc. because it is capable of producing, variety of products with complex geometries. The raw material are draw into the desired final shape and size by a controlled material-removal process. Surface roughness is the critical quality indicator for machined surfaces. Surface rough-ness is index of product quality and, in most cases, a tech-nical requirement for mechanical products. Achieving de-sired surface quality is of great importance for the func-tional behavior of a part.

The micro-end-mill is divided into a number of small elemental slices with equal axial depth along the z-axis based on the mechanistic modeling approach. Studied the friction stir processed GFRP plates subjected to milling. Response surface methodology are probably the most used statistical approaches for identi-fying the relationship between various input parameters and yield responses. To performed theoretical and mathematical calculated the results used in modelling of end milling process of Al alloy. The fatigue life of AL alloy decreases considerably due to surface roughness as surface roughness leads to local stress concentration. Investigated the effort of best machining conditions for rising the output and realizing prime quality through increase removal rate and improve surface quality. It is mainly caused by the specific conditions occurring during the micro milling process, which are connected with: mini-mum uncut chip thickness phenomenon

According to the, very low feed rates selected during micro mill-ing result in dynamical stability loss due to the elastic de-formation of the work piece. GRA calculated by using a categorized into two types namely Lower the better, higher the better criterion. The most commonly implemented offline experimental techniques for optimisation of these manufacturing process parameters. To find optimum cut-ting parameters of micro-end milling operation when ma-chining aluminium block with High speed steel end mill cutter. computer tools have been developed over the past years to make use of fuzzy logic in modelling, simula-tion and decision making, and many general computing environments such as Mat Lab implement popular fuzzy methods, like the so-called “Mamdani fuzzy inference” (Mat Lab 2018).

Fuzzy logic has a lot of application in the real world. Basically the system will accept the input or some inputs and then pass the inputs to a process called fuzzification. In the fuzzification process, input quantity (can be digital precise/imprecise) will undergo some transla-tion into linguistics such as low, medium, high of physical properties. The translated data will be send to an inference mechanism that will apply the predefined rules. The infer-ence mechanism will generate the output in linguistic form. The linguistics out[put will go through defuzzification pro-cess to be in numerical form ( the normal data form) Defuzzification is defined as the conversion of a fuzzy quantity represented by a membership function to precise or crisp output in this work, ANOVA is used to identify the most input parameter of the end mill machine.