Experimental investigation on cycle time in machining of forged crankshaft

Pal, Sunil; Saini, Surendra Kumar

doi:10.1016/j.matpr.2020.11.636

Cited by 4 publications

(3 citation statements)

References 11 publications

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“…Crankshaft in the working force is complicated, the working environment is harsh, it is easy to produce fatigue failure, so the automobile engine crankshaft has a high requirement in terms of materials. In terms of crankshaft materials, there are mainly two kinds of crankshaft materials for automobile engines at present, namely forged steel and ductile iron [1][2][3][4][5]. Compared with forged steel, ductile iron has the advantages of low production cost and higher strength and vibration resistance.…”

Section: Introductionmentioning

confidence: 99%

Finite element simulation of automobile crankshaft processing based on ductile iron

Zhang¹

2023

J. Phys.: Conf. Ser.

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Crankshaft plays a very important role as the key parts in the automobile engine. The processing of shaft parts mainly adopts the machining method of turning. The service life of the machining tool directly affects the production cost. In the machining process of shaft parts, due to its poor rigidity, it is easy to cause machining deformation, so it is of great significance to control the machining deformation of parts. In this paper, the Advantedge simulation software is used to establish the finite element model of tool wear and cutting process with nodular cast iron crankshaft parts as the research object, and the tool wear and machining deformation of shaft parts are studied respectively.

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Section: Introductionmentioning

confidence: 99%

Finite element simulation of automobile crankshaft processing based on ductile iron

Zhang¹

2023

J. Phys.: Conf. Ser.

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“…Machining on crankshaft conducted with confirmatory optimum values of design parameters. Further movement and cycle time have also analysed [16][17]. Mathematical modeling has done for the abrasive jet machining parameters with artificial neural network [18].…”

Section: Introductionmentioning

confidence: 99%

Evolution of Optimum Parameters for EDD in Tool Steel

Saini,

Khaja

2023

E3S Web Conf.

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Better toughness, abrasion resistance and machining characteristics make tool steel suitable material for dies and tools. Electrical discharge drilling is thermal energy based spark machining process. In this process metal removes from the work along circumference of hole to be cut is due to spark phenomena. In present study circular cutting on steel is performed with wire electric discharge machine using design of experiment approach. Four design variables pulse on & off time, wire feed and current have taken while material removal rate considered as quality parameters. Total nine experiments conducted on work material using orthogonal array. Taguchi technique is used to identify the significant process parameter on quality parameter.

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“…In terms of cost estimation for machining processes, it is very important to have accurate methods to predict these times, either by acquired empirical knowledge or by the development and implementation of methods that seek to estimate and optimize these times. Regarding optimization based on empirical knowledge, Pal and Saini [38], propose the optimization of cycle time when machining a forged crankshaft. A study of the process was performed, identifying possible improvements in terms of actions performed during machining and setup operations.…”

Section: Introductionmentioning

confidence: 99%

Build-Up an Economical Tool for Machining Operations Cost Estimation

Silva

Sousa

Pinto

et al. 2022

Metals

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Currently, there is a lack of affordable and simple tools for the estimation of these costs, especially for machining operations. This is particularly true for manufacturing SMEs, in which the cost estimation of machined parts is usually performed based only on required material for part production, or involves a time-consuming, non-standardized technical analysis. Therefore, a cost estimation tool was developed, based on the calculated machining times and amount of required material, based on the final drawing of the requested workpiece. The tool was developed primarily for milling machines, considering milling, drilling, and boring/threading operations. Regarding the considered materials, these were primarily aluminum alloys. However, some polymer materials were also considered. The tool first estimates the required time for total part production and then calculates the total cost. The total production time is estimated based on the required machining operations, as well as drawing, programming, and machine setup time. A part complexity level was also introduced, based on the number of details and operations required for each workpiece, which will inflate the estimated times. The estimation tool was tested in a company setting, comparing the estimated operation time values with the real ones, for a wide variety of parts of differing complexity. An average error of 14% for machining operation times was registered, which is quite satisfactory, as this time is the most impactful in terms of machining cost. However, there are still some problems regarding the accuracy in estimating finishing operation times.

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Experimental investigation on cycle time in machining of forged crankshaft

Cited by 4 publications

References 11 publications

Finite element simulation of automobile crankshaft processing based on ductile iron

Finite element simulation of automobile crankshaft processing based on ductile iron

Evolution of Optimum Parameters for EDD in Tool Steel

Build-Up an Economical Tool for Machining Operations Cost Estimation

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