Optimization of photochemical machining process parameters for manufacturing microfluidic channel

Agrawal, Devendra; Kamble, Dinesh

doi:10.1080/10426914.2018.1512115

Cited by 25 publications

(8 citation statements)

References 24 publications

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“…Entropy scheme was developed by Shannon with a thought of thermodynamics [36]. The important steps in entropy scheme are the normalization and calculating the entropy values and their weights [37]. The decision matrix of an MCDM problem is shown in Eq.…”

Section: Weight Measurement Using Entropy Methodsmentioning

confidence: 99%

Multi-objective Tubular Hydroforming Process Parametric Optimization using TOPSIS and PSI techniques

Pv¹,

Reddy

2021

Preprint

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Tube Hydroforming (THF) process is widely used in the aerospace and automotive industries. The success of forming tubular components using the THF process generally depends on many influencing parameters such as geometry, coefficient of friction, loading pathways, material formability, etc. The objective of this study was to determine the effect of the corner radius, coefficient of friction and heat treatment temperature on the bulging of the tubular component using finite element simulations. To address the complexity of parameter selection correctly with different alternatives, the multi-criteria decision-making methods (MCDM) applied in the present work. Two decision models, namely Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) and Performance Selection Index (PSI) methods with entropy weighting criteria were applied for obtaining the best combination of parameters to get a sound quality product. Finally, the proposed ranking was validated by conducting experimental trials and the error was observed to be in limits in comparison with the simulated data. ANOVA was also performed to distinguish the significant parameters and their contribution to the responses. Both the MCDM methods suggested the same favorable and unfavorable alternatives.

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Section: Weight Measurement Using Entropy Methodsmentioning

confidence: 99%

Multi-objective Tubular Hydroforming Process Parametric Optimization using TOPSIS and PSI techniques

Pv¹,

Reddy

2021

Preprint

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“…While considering concentration of the etchant, etching time and temperature of the etchant as the three input parameters of a PCM process, Agrawal and Kamble [24] implemented weighted GRA approach in obtaining the best parametric combination to optimize material removal rate (MRR), surface roughness (SR), undercut and etch factor of stainless steel work material. Prasad et al [7] applied WASPAS and MOORA methods to optimize different interrelated responses, such as MRR, SR and taper angle (TAP) during AJM operation of nickel 233 alloy.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Based on these regression equations, a comparison of the predicted response values derived at the obtained optimal parametric combination with that of Agrawal and Kamble [24] is shown in Table 7. From this table, it can be unveiled that the optimal parametric mix obtained using the proposed GC-EDAS approach is superior to that of Agrawal and Kamble [24], resulting in improvements of 32.13%, 68.31%, 27.82%, and 14.65% in the values of SR, Uc, MRR and EF respectively. A particular parametric optimization problem can be solved using different approaches having varying mathematical complexities.…”

Section: Gapmentioning

confidence: 99%

Application of grey correlation-based EDAS method for parametric optimization of non-traditional machining processes

Das

Chakraborty

2020

Scientia Iranica

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Higher dimensional accuracy along with better surface finish of various advanced engineering materials has turned out to be the prime desideratum for the present day manufacturing industries. To achieve this, non-traditional machining (NTM) processes have become quite popular because of their ability to produce intricate shape geometries on diverse difficult-to-machine materials. To allow these processes to operate at their fullest capability, it is often recommended to set their different input parameters at the optimal levels. Thus, in this paper, a new technique combining grey correlation method and evaluation based on distance from average solution is applied for simultaneous optimization of three NTM processes, i.e. photochemical machining process, laserassisted jet electrochemical machining process and abrasive water jet drilling process. The derived optimal parametric combinations outperform those as identified by the other popular multi-objective optimization techniques with respect to the considered response values. The results of analysis of variance also identify the most influencing parameters for the said NTM processes. Finally, the developed surface plots would help the process engineers in investigating the effects of different NTM process parameters on the corresponding grey appraisal scores.

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“…Micro-milling, lithography, embossing [16], ultra-precision machining, multi-cutter milling [17] and [5], laser beam machining (LBM), electrochemical machining (ECM) [18], photochemical machining (PCM) [19], hybrid machining [1], and some others are the reported methods to produce micro-channels on variety of substrate materials. PCM, LBM, and ECM are very well-known processes to produce very thin micro-channels (even down to 100 µm) but these processes are not very suitable to achieve high aspect-ratio micro-channels [20].…”

Section: Introductionmentioning

confidence: 99%

WEDM of Copper for the Fabrication of Large Surface-Area Micro-Channels: A Prerequisite for the High Heat-Transfer Rate

et al. 2020

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To get the maximum heat transfer in real applications, the surface area of the micro-features (micro-channels) needs to be large as possible. It can be achieved by producing a maximum number of micro-channels per unit area. Since each successive pair of the micro-channels contain an inter-channels fin, therefore the inter-channels fin thickness (IFT) plays a pivotal role in determining the number of micro-channels to be produced in the given area. During machining, the fabrication of deep micro-channels is a challenge. Wire-cut electrical discharge machining (EDM) could be a viable alternative to fabricate deep micro-channels with thin inter-channels fins (higher aspect ratio) resulting in larger surface area. In this research, minimum IFT and the corresponding machining conditions have been sought for producing micro-channels in copper. The other attributes associated with the micro-channels have also been deeply investigated including the inter-channels fin height (IFH), inter-channels fin radius (IFR) and the micro-channels width (MCW). The results reveal that the inter-channels fin is the most critical feature to control during the wire electrical discharge machining (WEDM) of copper. Four types of fin shapes have been experienced, including the fins: broken at the top end, deflected at the top end, curled bend at the top, and straight with no/negligible deflection.

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Optimization of photochemical machining process parameters for manufacturing microfluidic channel

Cited by 25 publications

References 24 publications

Multi-objective Tubular Hydroforming Process Parametric Optimization using TOPSIS and PSI techniques

Multi-objective Tubular Hydroforming Process Parametric Optimization using TOPSIS and PSI techniques

Application of grey correlation-based EDAS method for parametric optimization of non-traditional machining processes

WEDM of Copper for the Fabrication of Large Surface-Area Micro-Channels: A Prerequisite for the High Heat-Transfer Rate

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