Machining parameters

Xem 1-20 trên 160 kết quả Machining parameters
  • Extrudates were prepared to identify the optimum machine parameters and prepare good quality ready to eat extruded snacks from a suitable blend of sattu and kodo. Kodo is millet that supply starch necessary to provide required puffing quality to extrudate. Kodo also imparts brightness to the extrudate. Sattu has been blended as it is a rich source of protein gram being the main source followed by wheat and barley. It also provides fibres. The experiments were carried out to find out the effect of different levels of processing parameters.

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  • In the present study extrudates were prepared to identify the optimum machine parameters and prepare good quality ready to eat extruded snacks from a suitable blend of sattu and kodo. Fibre content remain unchanged with increase in proportion of kodo flour in the different feed blends and increases with increase in moisture content of feed, with increase in barrel temperature, with increase in die head temperature.

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  • (BQ) This paper is devoted to a study of the influences of EDM parameters on surface roughness for machining of 40CrMnNiMo864 tool steel (AISI P20) which is widely used in the production of plastic mold and die. The selected EDM parameters were pulsed current (8, 16 and 24 A), pulse time (2, 3, 4, 6, 12, 24, 48 and 100 s) and pulse pause time (2 and 3s). It was observed that surface roughness of workpiece and electrode were influenced by pulsed current and pulse time, higher values of these parameters increased surface roughness.

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  • (BQ) Electrical Discharge Machining (EDM) is a non-traditional, thermo electrical process, which erodes material from the work piece by a series of discrete sparks between the work and tool electrode immersed in a liquid dielectric medium.

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  • (BQ) In this research work two different materials have been used as work pieces. These EN8 and D3 steel materials have been machined in an Electrical discharge machine which has wide application in Industry fields. The important process parameters that have been selected are peak current, pulse on time, die electric pressure and tool diameter. The outputs responses are material removal rate (MRR), tool wear rate (TWR) and surface roughness (SR).

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  • The process was optimized for minimum power consumption considering environmental concern as prime importance. Studies suggest that the cutting environment and tool type influenced on the power consumption during turning process. Extended form of the proposed model could be useful to predict the environmental impact due to machining process, which would bring environmental concern into conventional machining.

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  • Parts of the experiment are conducted with the L9 orthogonal array based on the Taguchi methodology and significant process parameters are identified using Analysis of Variance (ANOVA). It is found that MRR is affected by gap current & Ra is affected by pulse on time. Moreover, the signal-to-noise ratios associated with the observed values in the experiments are determined by which factor is most affected by the responses of MRR, Ra and OC.

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  • Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Radiation Oncology cung cấp cho các bạn kiến thức về ngành y đề tài: " Pre-segmented 2-Step IMRT with subsequent direct machine parameter optimisation – a planning study...

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  • Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Radiation Oncology cung cấp cho các bạn kiến thức về ngành y đề tài: " Comparison of direct machine parameter optimization versus fluence optimization with sequential sequencing in IMRT of hypopharyngeal carcinoma...

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  • (BQ)This paper proposes an experimental investigation and optimization of the various machining parameters for the electrical discharge machining (EDM) processes on Inconel 718 super alloy using a multi objective particle swarm optimization (MOPSO) algorithm.

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  • (BQ) This paper investigated the effects of machining parameters on surface roughness of wire EDMed DC53 die steel. The investigated machining parameters were pulse-on time, pulse-off time, pulse-peak current, and wire tension. Analysis of variance (ANOVA) technique was used to find out the parameters affecting the surface roughness. Assumptions of ANOVA were discussed and then examined through residual analysis. Quantitative testing methods on residual analysis were employed in place of the typical qualitative testing techniques.

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  • The objective of this work is to develop the specific cutting energy (SCE) model and optimize machining parameters for decreasing energy consumption and improving the material removal rate (MRR), while surface roughness Ra is considered as a constraint. In the practical machining, the surface roughness Ra is predetermined as the technical requirement.

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  • Studies on engineering properties of variety JK 41 Kodo (Paspalum scrobiculatum L.) was conduct at 12 and 14 % moisture content wet basis (w.b). The average length, width, thickness, size and sphericity of Kodo millet at 12% moisture content (w.b) were 2.69 mm, 2.02 mm, 1.31 mm, 1.92 mm and 71.68 % respectively. However, the average values of length, width, thickness, size and sphericity of Kodo millet at 14% moisture content (w.b) were 2.80 mm, 2.39 mm, 1.39 mm, 2.09 mm, and 74.76% respectively.

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  • This study investigates multiresponse optimization of turning process for an optimal parametric combination to yield the minimum power consumption, surface roughness and frequency of tool vibration using a combination of a Grey relational analysis (GRA).

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  • This paper demonstrates an experimental scrutiny into turning process of hot work tool steel AISI H21 under dry machining plight. In this paper, face centered central composite design concealed by response surface methodology is practiced and analysis of variance is implemented to analyze the eloquent benefaction of machining parameters on responses.

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  • From the principles of electrical engineering it is known that the 3-phase quantities of the 3-phase AC machines can be summarized to complex vectors. These vectors can be represented in Cartesian coordinate systems, which are particularly chosen to suitable render the physical relations of the machines. These are the field-orientated coordinate system for the 3- phase AC drive technology or the grid voltage orientated coordinate system for generator systems.

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  • The principle of Occam’s razor loosely translates to “the simplest solution is often the best”. The author of Kinematic Geometry of Surface Machining utilizes this reductionist philosophy to provide a solution to the highly inefficient process of machining sculptured parts on multi-axis NC machines. He has developed a method to quickly calculate the necessary parameters, greatly reduce trial and error, and achieve efficient machining processes by using less input information, and in turn saving a great deal of time.

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  • This chapter aims to provide basic backgrounds of different types of machining processes and highlights on an understanding of important parameters which affects machining of metals. • Mechanics of machining is introduced for the calculation of power used in metal machining operation • Finally defects occurring in the machining processes will be discussed with its solutions. Significant factors influencing economics of machining will also be included to give the optimum machining efficiency.

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  • This lecture will teach you how to fit nonlinear functions by using bases functions and how to control model complexity. The goal is for you to: Learn how to derive ridge regression; understand the trade-off of fitting the data and regularizing it; Learn polynomial regression; understand that, if basis functions are given, the problem of learning the parameters is still linear; learn cross-validation; understand model complexity and generalization.

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  • State-of-the-art Machine Translation (MT) systems are still far from being perfect. An alternative is the so-called Interactive Machine Translation (IMT) framework, where the knowledge of a human translator is combined with the MT system. We present a statistical IMT system able to learn from user feedback by means of the application of online learning techniques. These techniques allow the MT system to update the parameters of the underlying models in real time.

    pdf6p hongdo_1 12-04-2013 36 3   Download



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