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Application of Genetic Algorithm Technique for Machining Parameters Optimization in Drilling of Stainless Steel

1 Introduction Drilling is a key technology in several applications of strategic or societal importance, including exploration for and extraction of oil, gas, geothermal and mineral resources in environmental monitoring and remediation underground excavation and infrastructure development scientific study of the Earth’s subsurface manufacturing sector Optimization of machining parameters in drilling operations will help in lowering the costs and improve quality. From the studies presented in [ 1 ], it is understood that spindle speed and feed

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Turning operation of AISI 4340 steel in flooded, near-dry and dry conditions: a comparative study on tool-work interface temperature

were planned based on a full factorial design (3 3 ). From the set of experiments, the effect of machining parameters, namely cutting velocity, feed rate and depth of cut on the response output were studied. The experimental setup comprising the lathe, NDM unit, compressor and the tool-work thermocouple arrangement is shown in Figure 3 . Figure 3 Experimental setup NDM nozzle shown in Figure 4 was attached parallel to the flood coolant nozzle available in the lathe. The NDM unit was placed as a peripheral device, which generates coolant mist. The

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Parametric Study for Wire Cut Electrical Discharge Machining of Sintered Titanium

methodology coupled with grey-Taguchi technique”, International Journal of Engineering, Science and Technology 2 (5), pp. 162 – 183, 2010 . [11] Rutvik A. Shah, Darji, A. “A literature review on effect of machining parameters in Wire-EDM”, IJSRD - International Journal for Scientific Research & Development, 1 (9), pp. 1840 – 1842, 2013 . [12] Kumar, A., Kumar, V. Kumar, J. “Prediction of surface roughness in wire electric discharge machining (WEDM) process based on Response Surface Methodology” International Journal of Engineering and Technology 2 (4), pp. 708

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Roughness of Metal Surface After Finishing Using Ceramic Brush Tools

Abstract

The paper describes processes of metal parts edges deburring and surface of metal samples polishing with ceramic tools based on fibre aluminium oxide. It presents the construction of basic types of tools and their practical industrial applications, and evaluates the influence of machining parameters on surface roughness. An important advantage of the used tools is the possibility of deburring and machining of external flat and shaped surfaces as well as internal surfaces and even deep drilled holes. These tools can be practically used for machining all construction materials. The results of machining of selected engineering materials, such as aluminium 5052 and 2017A, Inconel 718, non-alloy steel, in various variants of machining parameters are presented. The influence of machining parameters on machined surface roughness was described.

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Influence of Use of Wiper Blades Upon Surface Roughness in Machining of Austenitic Stainless Steel

Abstract

The paper presents evaluation of possibilities of use of Wiper blades for machining of austenitic stainless steel. It presents information relating to geometry of Wiper blades. It also describes in detail testing conditions focusing upon description of the tested material and presenting testing stations. Next, it presents results of experimental tests on turning of 0H18N9 steel with the use of rhomboid and triangular inserts with traditional geometry and Wiper blades. On the basis of the surface roughness tests, efficiency of use of Wiper blades was determined and it was determined, how the positive influence of geometry of Wiper blades upon surface roughness changes with the change of machining parameters.

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Hard Machinable Machining of Cobalt Super Alloys

Abstract

The article deals with difficult-to-machine cobalt super alloys. The main aim is to test the basic properties of cobalt super alloys and propose suitable cutting materials and machining parameters under the designation 188 when machining. Although the development of technology in chipless machining such as moulding, precision casting and other manufacturing methods continues to advance, machining is still the leading choice for piece production, typical for energy and chemical engineering. Nowadays, super alloys are commonly used in turbine engines in regions that are subject to high temperatures, which require high strength, high temperature resistance, phase stability, as well as corrosion or oxidation resistance.

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Parameter Selection of a Support Vector Machine, Based on a Chaotic Particle Swarm Optimization Algorithm

Abstract

This paper proposes a SVM (Support Vector Machine) parameter selection based on CPSO (Chaotic Particle Swarm Optimization), in order to determine the optimal parameters of the support vector machine quickly and efficiently. SVMs are new methods being developed, based on statistical learning theory. Training a SVM can be formulated as a quadratic programming problem. The parameter selection of SVMs must be done before solving the QP (Quadratic Programming) problem. The PSO (Particle Swarm Optimization) algorithm is applied in the course of SVM parameter selection. Due to the sensitivity and frequency of the initial value of the chaotic motion, the PSO algorithm is also applied to improve the particle swarm optimization, so as to improve the global search ability of the particles. The simulation results show that the improved CPSO can find more easily the global optimum and reduce the number of iterations, which also makes the search for a group of optimal parameters of SVM quicker and more efficient.

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Optimizing Sampling Parameters of CMM Data Acquisition for Machining Error Correction of Freeform Surfaces

Abstract

An optimization study using the design of experiment technique is described, in which the surface profile height of a freeform surface, determined in coordinate measurements, is the response variable. The control factors are coordinate sampling parameters, i.e. the sampling grid size and the measuring tip diameter. As a result of the research, an optimal combination of these parameters was found for surface mapping with acceptable measurement uncertainty. The presented study is the first stage of optimization of machining error correction for the freeform surface and was intended to take into account mechanical-geometric filtration of surface irregularities caused by these geometrical parameters. The tests were carried out on a freeform workpiece milled with specific machining parameters, Ra of the surface roughness was 1.62 μm. The search for the optimal combination of parameters was conducted using Statistica software.

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Manufacturing and Testing of Carbon Composite Samples Intended for Aviation

Abstract

The paper presents the manufacturing technology and quality control of samples made of composite materials intended, inter alia, for aircraft elements. The samples are made from carbon fiber reinforced prepreg in a polymer matrix which is commonly used in the aerospace industry. The authors described the dimensional requirements for samples made of composite materials for strength testing, and the main stages of production which have a direct impact on the quality of composite samples. Also presented is the technological process of producing flat carbon composite panels for composite samples, cutting the produced panels with a CNC plotter, cutting the samples on a conventional milling machine, and surface treatment of the samples on a surface grinder. The machining parameters that were experientially found to be optimal for the milling and grinding of carbon samples are specified as well. Finally, the method of quality control of the ready composite samples is described and solutions are presented to improve the production of high-quality samples.

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Comparison of selected surface topography parameters after the turning of Inconel 625 obtained by the additive techniques to the parameters of the material made by the traditional techniques

Abstract

The paper presents the possibilities of additive manufacturing of the selected alloy, Inconel, for production of ready-made elements. The results of surface topography examination of the material manufactured with the use of the device 557 RPMI working in the LDT technology (LDT = Laser Deposition Technology) have been compared to those of thecold drawn material. The surfacejust after manufacturing inthese two technologies has been compared to the one after machining by means of variable machining parameters. The surface roughness parameter, Sskis positive for all the surfaces of thesamplemade by the traditional technology, regardless of the feed. This means that most of the material is located close to the valleys. The surfaces are characterised by right-hand side asymmetry. In all the surfaces of the sample made by the additive technology, regardless of the feed value, the surface roughness parameter, Ssk, is negative, which means that most of the material is located close to the peaks.

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