Parameter optimization of micromilling brass mold inserts for microchannels with Taguchi method

Chen, Pin-Chuan; Chen, Yu-Chieh; Pan, Chang-Wei; Li, Kuan‐Ming

doi:10.1007/s12541-015-0086-1

Cited by 15 publications

(4 citation statements)

References 19 publications

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“…This increases the total number of tests and as a result the experimentation cost also increases. Design and methods such as response surface methodology (RSM) [ 40 ] and Taguchi methods [ 41 ] are now widely used in place of a one-factor-at-a-time experimental approach which is time consuming and exorbitant in cost. RSM is a dynamic and foremost important tool of design of experiment (DOE), wherein the relationship between the output variables of a process with its input parameters (cutting conditions) is mapped to achieve the objective of maximization or minimization of the response properties.…”

Section: Introductionmentioning

confidence: 99%

Study on the Optimum Cutting Parameters of an Aluminum Mold for Effective Bonding Strength of a PDMS Microfluidic Device

Yousuff

Danish

et al. 2017

Micromachines

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Master mold fabricated using micro milling is an easy way to develop the polydimethylsiloxane (PDMS) based microfluidic device. Achieving high-quality micro-milled surface is important for excellent bonding strength between PDMS and glass slide. The aim of our experiment is to study the optimal cutting parameters for micro milling an aluminum mold insert for the production of a fine resolution microstructure with the minimum surface roughness using conventional computer numerical control (CNC) machine systems; we also aim to measure the bonding strength of PDMS with different surface roughnesses. Response surface methodology was employed to optimize the cutting parameters in order to obtain high surface smoothness. The cutting parameters were demonstrated with the following combinations: 20,000 rpm spindle speed, 50 mm/min feed rate, depth of cut 5 µm with tool size 200 µm or less; this gives a fine resolution microstructure with the minimum surface roughness and strong bonding strength between PDMS–PDMS and PDMS–glass.

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Section: Introductionmentioning

confidence: 99%

Study on the Optimum Cutting Parameters of an Aluminum Mold for Effective Bonding Strength of a PDMS Microfluidic Device

Yousuff

Danish

et al. 2017

Micromachines

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“…13,14 In addition to in-pipe robot design, studies on appropriate designs for three-dimensional flow structures have many applications. [15][16][17] Li et al 18 describes a multi-phase flow simulation for designing and controlling a passive magnetic levitation carrier system via the Taguchi method. Song et al 19 have conducted an optimal design of an internal flushing channel for a drill bit using response surface methodology (RSM) and computational fluid dynamics (CFD) simulations, achieving very good results.…”

Section: Introductionmentioning

confidence: 99%

Optimal design of a pipe isolation plugging tool using a computational fluid dynamics simulation with response surface methodology and a modified genetic algorithm

Hong

2017

Advances in Mechanical Engineering

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In this work, the flow effects on an isolation plugging tool in a pipeline were numerically investigated using computational fluid dynamics. The study focused on optimal parameter design for the isolation plugging tool, which reduced the unsteady force effects on the x and y directions of the flow field. First, three-dimensional models of the isolation plugging tool and pipe were built. The velocity, pressure, and force analysis on the flow past the isolation plugging tool were investigated via computational fluid dynamics simulation. Second, a combination of design parameter ratios was selected using the Box-Behnken method for a series of numerical experiments. From the simulation results, three regression total force models were determined for the x, y, and z directions using response surface methodology. A modified genetic algorithm was proposed to optimize the design parameter ratios for the isolation plugging tool based on the regression models. The optimum parameter ratios were chosen and verified using the simulation results.

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“…The Taguchi method has been employed widely in various fields in order to optimize die design or process parameters with a significant reduction in cost and time involved [21,22]. Besides the pocket contour in this studied case, there are several die features will affect the extrusion process or the metal flow balance, namely: the billet buckle angle (A), the porthole bevel angle (B), the depth of welding chamber (C), and the bridge type (D), as shown in Figure 6.…”

Section: Design Of Experiments By Means Of the Taguchi Methodsmentioning

confidence: 99%

Assessment of Metal Flow Balance in Multi-Output Porthole Hot Extrusion of AA6060 Thin-Walled Profile

Xue

Vincze

Péreira

et al. 2018

Metals

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For the porthole hot extrusion of a thin-walled tube based on metal flow, the role of the die's structure should be focused on to achieve precision formation, especially for multi-output extrusion and/or complex cross-sectional profiles. In order to obtain a better metal flow balance, a multi-output porthole extrusion die was developed, including some novel features such as a circular pattern of the portholes with a dart-shaped inlet bridge, a buckle angle in the inlet side of the upper die, a two-step welding chamber, and a non-uniform bearing length distribution. Through the use of thermo-mechanical modeling combined with the Taguchi method, the underlying effects of key die features were investigated, such as the billet buckle angle, the porthole bevel angle, the depth of the welding chamber, and the type of bridge on the metal flow balance. The experimental validation showed that the developed numerical model for the multi-output porthole extrusion process had high prediction accuracy, and was acceptable for use in an industrial extrusion with a complex section.

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Parameter optimization of micromilling brass mold inserts for microchannels with Taguchi method

Cited by 15 publications

References 19 publications

Study on the Optimum Cutting Parameters of an Aluminum Mold for Effective Bonding Strength of a PDMS Microfluidic Device

Study on the Optimum Cutting Parameters of an Aluminum Mold for Effective Bonding Strength of a PDMS Microfluidic Device

Optimal design of a pipe isolation plugging tool using a computational fluid dynamics simulation with response surface methodology and a modified genetic algorithm

Assessment of Metal Flow Balance in Multi-Output Porthole Hot Extrusion of AA6060 Thin-Walled Profile

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