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TL;DR: It is suggested to adopt TQFD for implementation in traditional organizations in which the prevalence of adequate education for adopting complex procedures is found to be least.
Abstract: In this paper, a literature review conducted to study the characteristics of advanced models of quality function deployment (QFD) that have appeared in the literature arena is reported. QFD technique emerged in Japan in the 1970s. QFD has been proving to be a powerful tool that can be used for translating the voice of customers into technical languages. Yet from the beginning of this century, researchers began to point out the need to refine, modify and improve the features of QFD technique. In order to fulfil this need, few researchers brought out several advanced models of QFD. While conducting the literature review reported in this paper, six types of such advanced models of QFD were identified in the literature arena and their characteristics were studied. The result of this study revealed that the procedural and computational complexities are least in the case of an advanced model called total quality function deployment (TQFD). TQFD technique replaces the complex computations involved in applying conventional QFD technique with simple ratings. Besides the formation of teams to translate the voice of customers into work instructions ensures the quick reactions to the customers’ desires in the actual field of implementation. In this background, at end of this paper, it is suggested to adopt TQFD for implementation in traditional organizations in which the prevalence of adequate education for adopting complex procedures is found to be least.
64 citations
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TL;DR: In this paper, a turning operation of a cutting fluid with and without silver nanoparticles was carried out and it was observed that the inclusion of nanoparticles in cutting fluid showed a significant reduction in tool tip temperature, cutting force and surface roughness of the work piece.
Abstract: Cutting fluids play a significant role in machining operations, impact shop productivity, tool life and quality of work. The reduction in the consumption rate of the cutting fluid leads to the minimization of production cost and environmental hazards. This could be achieved by the enhancement of its thermal and tribological properties with the inclusion of suitable additives in the cutting fluid. In recent years various nanoparticles were used as additives in the conventional cutting fluid to enhance its properties. In the present work, silver nanoparticles was synthesized, characterized, dispersed in cutting fluid and experimented in a turning operation. Heat carrying capacities of the cutting fluid, cutting forces during machining process and surface finish of the work piece were assessed by suitable instruments for cutting fluids with and without silver nanoparticles under different machining conditions. From the experimental results, it was observed that inclusion of silver nanoparticles in cutting fluid showed a significant reduction in tool tip temperature, cutting force and surface roughness of the work piece.
64 citations
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TL;DR: In this paper, a metal-free nitrogen doped carbon material was synthesized by post doping of nitrogen (different amounts of melamine) into carbon substrate derived from glucose, at 550°C under nitrogen protection.
63 citations
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TL;DR: In this paper, the effect of minimum quantity lubrication on the machinability of composite-titanium stacks was quantified in terms of drilling thrust forces, delamination damage of the composite phase and tool wear signatures.
63 citations
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TL;DR: In this paper, a modification in the composition of the well-studied AlCoCrFeNi high-entropy alloy (HEA), by replacing Cr with Mn, was reported.
63 citations
Authors
Showing all 3174 results
Name | H-index | Papers | Citations |
---|---|---|---|
Mohan K. Balasubramanian | 47 | 130 | 6238 |
Dong-Sheng Jeng | 45 | 398 | 7548 |
Bruce H. Thomas | 43 | 274 | 6662 |
S. Vinodh | 41 | 239 | 5610 |
S. G. Ponnambalam | 33 | 186 | 3573 |
V.S. Raja | 29 | 119 | 2745 |
Bheemappa Suresha | 26 | 148 | 2213 |
S. Basavarajappa | 26 | 92 | 2672 |
Periasamy Viswanathamurthi | 25 | 92 | 2443 |
N. Jawahar | 25 | 69 | 1812 |
Ram Ramesh | 24 | 129 | 1966 |
Sundaramoorthy Rajasekaran | 24 | 52 | 1659 |
S.R. Devadasan | 23 | 30 | 1148 |
Sam Anand | 23 | 86 | 1698 |
R. Balasundaraprabhu | 23 | 59 | 1375 |