Multi-response optimization for machining GFRP composites using GRA and DFA

Neeli, Naresh; Jenarthanan, M.P.; Kumar, Gaurav

doi:10.1108/mmms-08-2017-0092

Cited by 14 publications

(6 citation statements)

References 21 publications

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“…Taguchi's Robust Design methodology is a popular optimization technique to ensure the robustness of the product by accommodating both noise and control parameters (Almansoori et al , 2020). However, it has the limitation of optimizing a single output (Muqeem et al , 2017), while the GRA assists in drawing a robust inference by transforming the multi-output into a single output optimization problem (Naresh et al , 2014; Neeli et al , 2018). This approach is used to establish optimal solutions to uncertain problems having incomplete information and discrete data (Wu, 2002).…”

Section: Case Studymentioning

confidence: 99%

Simulation-based lean six sigma for Industry 4.0: an action research in the process industry

Bhat

Bhat²,

Gijo

2020

IJQRM

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PurposeThe primary aim of this article is to ascertain the modalities of leveraging Lean Six Sigma (LSS) for Industry 4.0 (I4.0) with special reference to the process industries. Moreover, it intends to determine the applicability of simulation-based LSS in the automation of the mineral water industry, with special emphasis on the robust design of the control system to improve productivity and performance.Design/methodology/approachThis study adopts the action research methodology, which is exploratory in nature along with the DMAIC (define-measure-analyze-improve-control) approach to systematically unearth the root causes and to develop robust solutions. The MATLAB simulation software and Minitab statistical software are effectively utilized to draw the inferences.FindingsThe root causes of critical to quality characteristic (CTQ) and variation in purity level of water are addressed through the simulation-based LSS approach. All the process parameters and noise parameters of the reverse osmosis (RO) process are optimized to reduce the errors and to improve the purity of the water. The project shows substantial improvement in the sigma rating from 1.14 to 3.88 due to data-based analysis and actions in the process. Eventually, this assists the management to realize an annual saving of 20% of its production and overhead costs. This study indicates that LSS can be applicable even in the advent of I4.0 by reinforcing the existing approach and embracing data analysis through simulation.Research limitations/implicationsThe limitation of this research is that the inference is drawn based on a single case study confined to process industry automation. Having said that, the methodology deployed, scientific information related to optimization, and technical base established can be generalized.Originality/valueThis article is the first of its kind in establishing the integration of simulation, LSS, and I4.0 with special reference to automation in the process industry. It also delineates the case study in a phase-wise manner to explore the applicability and relevance of LSS with I4.0. The study is archetype in enabling LSS to a new era, and can act as a benchmark document for academicians, researchers, and practitioners for further research and development.

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Section: Case Studymentioning

confidence: 99%

Simulation-based lean six sigma for Industry 4.0: an action research in the process industry

Bhat

Bhat²,

Gijo

2020

IJQRM

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“…The hybrid fiber composite material scan creates a mixture the same matrix More than one type of fiber. Although in principle many fibers can be combined in a hybrid system, two types of fibers Admission is high most beneficial with hybridization, performance properties and the price of compounds can be achieved, which is not achieved with one type of reinforcement [47]. Natural fibers cannot replace their wide range of synthetic fibers.…”

Section: Hybrid Glass Fibermentioning

confidence: 99%

A Review on Glass fibre Reinforced Composites with Different Matrix

Mehar

Jenarthanan

Sathiyaraj³

2021

JEMM

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The glass fibers compared to the natural fibers of production has less environmental impacts severe. Natural fiber mainly for cultivation solar power Depends Also small use in fiber production and extraction amounts Fossil Fuel energy. In this paper study by the effect of drilling, Mechanical parts and component assembly in structures is Often in the industry Is the machining process is practice hemp-filled B.P. of Mechanical properties and compositions with glass fibers with properties Is replaced by a portion of the hemp fibers. The approximately mixed short fibers the glass fiber repaper of Mechanical properties of fiberglass Study by copying compounds. Are made and optimized Fiber length and wt% Are estimated. Hybrid fiberglass and between the adhesive of the thermal expansion coefficient of the thermal pressure generated by the difference Causing is imaginary temperature resin may case dependencies of the apparent shear strength. Glass fibers on tooth brushing sites by merging the PMMA strength of the teeth can increase that is what this study suggests.

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“…The prevailing R&D indicates that conventional materials like metals, wood, etc. can be replaced by new age materials like composites, which have superior properties like high strength-to-weight ratio, lightweight and better stiffness (Kus et al, 2018;Neeli et al, 2018). Most of the earlier research has paid attention in this field to study the different properties of composites under different conditions.…”

Section: Literature Reviewmentioning

confidence: 99%

Modelling and optimisation of natural fibre reinforced polymer nanocomposite: application of mixture-design technique

Bellairu¹,

Bhat²,

Gijo

2020

MMMS

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PurposeThe aim of this article is to demonstrate the development of environment friendly, low cost natural fibre composites by robust engineering approach. More specifically, the prime objective of the study is to optimise the composition of natural fibre reinforced polymer nanocomposites using a robust statistical approach.Design/methodology/approachIn this research, the material is prepared using multi-walled carbon nanotubes (MWCNT), Cantala fibres and Epoxy Resin in accordance with the ASTM (American Society for Testing and Materials) standards. Further, the composition is prepared and optimised using the mixture-design approach for the flexural strength of the material.FindingsThe results of the study indicate that MWCNT plays a vital role in increasing the flexural strength of the composite. Moreover, it is observed that interactions between second order and third order parameters in the composition are statistically significant. This leads to proposing a special cubic model for the novel composite material with residual analysis. Moreover, the methodology assists in optimising the mixture component values to maximise the flexural strength of the novel composite material.Originality/valueThis article attempts to include both MWCNT and Cantala fibres to develop a novel composite material. In addition, it employs the mixture-design technique to optimise the composition and predict the model of the study in a step-by-step manner, which will act as a guideline for academicians and practitioners to optimise the material composition with specific reference to natural fibre reinforced nanocomposites.

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Multi-response optimization for machining GFRP composites using GRA and DFA

Cited by 14 publications

References 21 publications

Simulation-based lean six sigma for Industry 4.0: an action research in the process industry

Simulation-based lean six sigma for Industry 4.0: an action research in the process industry

A Review on Glass fibre Reinforced Composites with Different Matrix

Modelling and optimisation of natural fibre reinforced polymer nanocomposite: application of mixture-design technique

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