Toolpath Strategy and Optimum Combination of Machining Parameter during Pocket Mill Process of Plastic Mold Steels Material

Wibowo, Yohanes Tri Joko; Baskoro, S Y; Manurung, Vuko A T

doi:10.1088/1757-899x/306/1/012137

Cited by 5 publications

(4 citation statements)

References 2 publications

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“…(15) The monitoring system is confirmed in his research. (16) Cutting parameters stated that changes in spindle speed affect energy consumption, (17) which continued that process planning and machining parameters affect operational costs. (18) This is in line with what the researcher stated in his writing that the variation of parameters affects the machining results or product quality on various machines.…”

Section: Streams On Optimisationmentioning

confidence: 99%

Response surface methodology approach in achieving multi-response setup optimization in the machining process

Wibowo¹,

Siswanto²,

Suef³

2022

Salud, Ciencia y Tecnología

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A machining cost is constructed on many factors. All aspects potentially raise the additional charges resulting from not achieving dimension due to tool wear level. The accuracy of parameters determines the effectiveness of the machining process. However, these parameters are sensitive, so the different machines may not provide the same performance. The specific machining parameters become less suitable for others. This experimental approach is proposed to obtain the parameter used on other machines without reducing the performance. This multi-response study used a response surface methodology by selecting the material removal area, feed rate, spindle speed, and the number of repetitions as input have a dominant influence on the tool wear and the dimension deviation. A comprehensive range with the specified target is obtained by applying different weights. Testing on 11 units of machines from 3 other countries provides the same performance and contributes to saving 15 % of machining time.

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Section: Streams On Optimisationmentioning

confidence: 99%

Response surface methodology approach in achieving multi-response setup optimization in the machining process

Wibowo¹,

Siswanto²,

Suef³

2022

Salud, Ciencia y Tecnología

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“…Vandana [6] researched metal cutting simulation, and Vavruska [7] aimed at reducing processing time by changing spindle speed and feed rate using different milling strategies. Wibowo also studied [8] the optimal combination of cutting parameters during the pocket mill process of plastic mold steels material, and Arruda [9] focused on studying the optimization of the finishing milling process using ball nose end mill. Other research belongs to Rathod [10], Liu [11], Binder [12], Lofti [13], Attanaio [14], and Yue [15], who addressed the issue of tool wear and chip formation using FEA.…”

Section: Introductionmentioning

confidence: 99%

Study about the chip formation in the turning process using the finite element analysis

Pop

Țîțu

2022

IOP Conf. Ser.: Mater. Sci. Eng.

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At this time, there is a significant interest in the chip shape and formation at the international level, an issue studied based on mathematical calculations, experiments, and finite element analysis. The analysis of the chip formation process showed that the thickness of the undetached chip also varies according to the rake angle of the cutting tool, and using 3D models to analyze the chip formation process demonstrates this fact. Following the research, a study was conducted in which an analysis of the chip morphology is presented. Using Deform 2D application, a finite element simulation - a comparative analysis of the chip formation was performed when the value of the clearance angle varies. The increasing variety of cutting radius values has an influence on the way the chips are formed in terms of thickness, which generate differences in its shape. Following the study, a series of conclusions and own findings emerged that with the increase of the cutting-edge radius, the stress distribution is radial over a greater area of the part, reason for which the deformation of the chip is smaller. Arguments have also been made on distribution of the temperature, which is directly influenced by the shape of the tool, influencing the temperature of the generated chip. The results also show that with the increase of the cutting-edge radius of the tool, there is a tendency for the detached chip to settle.

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“…The element surface quality after milling is one of the key factors. Many authors were raising the problem of machining strategy optimisation as regards the surface quality improvement [13,14,15,16,17,18,19].…”

Section: Introductionmentioning

confidence: 99%

Highly Efficient Milling on the Example of Selected Machining Strategies

Zaleski¹,

Matuszak²,

Zyśko³

2020

Adv. Sci. Technol. Res. J.

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The pursuit to achieve a broadly defined optimisation of the manufacturing processes imposes the use of the increasingly innovative machining methods. The increase of the machining efficiency, assuring a high surface quality as well as precision of dimensions and shapes, necessitates the search for new methods to meet the demanding requirements, apart from the development of materials used for the working parts of tools, wear-resistant coatings or improvement of the cutting tool point geometry. One of the methods to improve forming by machining is the optimisation of the machining strategy during the manufacture of the components having complex shapes. The progress in this field is particularly noticeable along with development of the software for machining on multi-axis machines. This article presents the results of tests for the impact of machining strategy on passive force, cutting torque, material removal rate, topography of the obtained surface and the shape of chip resulting from the aluminium alloy milling. The tests were performed by comparison of the classic strategy available in the NXCAM system to the iMachining technology.

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Toolpath Strategy and Optimum Combination of Machining Parameter during Pocket Mill Process of Plastic Mold Steels Material

Cited by 5 publications

References 2 publications

Response surface methodology approach in achieving multi-response setup optimization in the machining process

Response surface methodology approach in achieving multi-response setup optimization in the machining process

Study about the chip formation in the turning process using the finite element analysis

Highly Efficient Milling on the Example of Selected Machining Strategies

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