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Author

B. B. Ahuja

Other affiliations: Wellesley College
Bio: B. B. Ahuja is an academic researcher from College of Engineering, Pune. The author has contributed to research in topics: Machining & Bearing (mechanical). The author has an hindex of 7, co-authored 26 publications receiving 135 citations. Previous affiliations of B. B. Ahuja include Wellesley College.

Papers
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Journal Article
TL;DR: In this article, the effect of the combined turning and two ball-burnishing parameters on the surface roughness and surface hardness of aluminum specimen was analyzed by the variance technique and the F-test.
Abstract: Burnishing is a plastic deformation process, which is becoming more popular as a finishing process. Experimental work based on 2 3 factorial design has been carried out on Turn master T-40 lathe to establish the effect ofthe combined turning and two ball-burnishing parameters on the surface roughness and surface hardness of aluminum specimen. The results have been analyzed by the variance technique and the F-test, showing thereby that the lubricant, force, speed, and feed have significant effects on surface roughness and surface hardness. A pre-machined surface roughness of 0.63-0.75 μm (by turning) can be finished up to 0.11 μm (by burnishing) and improved micro hardness is obtained.

28 citations

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TL;DR: In this article, a one step composite shaft made of carbon-fibers in epoxy matrix has been manufactured with 16 layers having stacking angles [0°/90°/45°/−45°]2s using filament winding process.

22 citations

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TL;DR: In this article, a brief overview of tool mechanisms used and machining of ceramics using stagnant and electrolyte flow method using copper and stainless steel tool by varying the voltage, electrolyte concentration, duty factor and pulse on time.

19 citations

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TL;DR: An efficient and robust algorithm has been developed for generation of curves from unorganized point cloud data that enables patient towards faster recovery to normal functions, reduces operative blood loss.

14 citations

Journal ArticleDOI
TL;DR: In this paper, the pore size, porosity, and pore interconnectivity were considered to predict the mechanical properties of the scaffold architecture, which has not been previously studied considering extrusion-based additive manufacturing.

12 citations


Cited by
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Journal ArticleDOI
TL;DR: This is a comprehensive literature review in the domain of FDM focused on identifying the direction for future work to enhance the acceptability of F DM printed parts in industries.
Abstract: Fused deposition modelling (FDM) is the most economical additive manufacturing technique. The purpose of this paper is to describe a detailed review of this technique. Total 211 research papers published during the past 26 years, that is, from the year 1994 to 2019 are critically reviewed. Based on the literature review, research gaps are identified and the scope for future work is discussed.,Literature review in the domain of FDM is categorized into five sections – (i) process parameter optimization, (ii) environmental factors affecting the quality of printed parts, (iii) post-production finishing techniques to improve quality of parts, (iv) numerical simulation of process and (iv) recent advances in FDM. Summary of major research work in FDM is presented in tabular form.,Based on literature review, research gaps are identified and scope of future work in FDM along with roadmap is discussed.,In the present paper, literature related to chemical, electric and magnetic properties of FDM parts made up of various filament feedstock materials is not reviewed.,This is a comprehensive literature review in the domain of FDM focused on identifying the direction for future work to enhance the acceptability of FDM printed parts in industries.

166 citations

12 Nov 1971
TL;DR: In this article, the primary objective of the program was the determination of the stress and strain fields in those local regions adjacent to the particulate fillers in matrix composites, and subsequent attainment of critical values of stresses and strains can be incorporated in an appropriate condition of failure.
Abstract: : The primary objective of the program was the determination of the stress and strain fields in those local regions adjacent to the particulate fillers in matrix composites Not only is the general mechanical behavior best understood on this microstructural level, but subsequent attainment of critical values of stresses and strains can be incorporated in an appropriate condition of failure (Author)

155 citations

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TL;DR: In this paper, the use of grey relational analysis foroptimizing the turning process parameters for the workpiece surface roughness and the chip thickness is introduced, where various turning parameters, such as cutting speed, feed rate, tool nose radius, and concentration of solid-liquid lubricants (minimum quantity lubricant) were considered.
Abstract: Optimization of multi-criteria problems is a great need of producers to produce precision parts with low costs. Optimization of multi-performance characteristics is more complex compared to optimization of single-performance char- acteristics. The theory of grey system is a new technique for performing prediction, relational analysis, and decision making in many areas. In this paper, the use of grey relational analysis foroptimizing theturning process parameters for the workpiece surface roughness and the chip thickness is introduced. Various turning parameters, such as cutting speed, feed rate, tool nose radius, and concentration of solid-liquid lubricants (minimum- quantity lubricant) were considered. A factorial design with eight added center points was used for the experimental design. Optimal machining parameters were determined by the grey relational grade obtained from the grey relational analysis for multi-performance characteristics (the surface roughness and the chip thickness). The results of confirmation experiments reveal that grey relational analysis coupled with factorial design can effectively be used to obtain the optimal combination of turning parameters. Experimental results have shown that the surface roughness and the chip thickness in the turning process can be improved effectively through the new approach. The minimum surface roughness and smallest chip thickness are 9.83 and 0.32 mm, respectively, obtained at optimal conditions of cutting speed, 1,200 rpm; feed rate, 0.06 mm/rev; nose radius, 0.8 mm; and concentration of solid-liquid lubricant (10% boric acid + SAE-40 base oil).

86 citations

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TL;DR: In this article, a method of enhancing the mechanical and electrical properties of laminated composites by interleaving continuous carbon nanotube (CNT) film between laminae was developed.

81 citations

Journal ArticleDOI
14 May 2021-Polymers
TL;DR: This study includes the influence of pre-processing of the printed part to improve the part strength and new research trends such as, vacuum-assisted FDM that has shown to improved the quality of the printing due to improved bonding between the layers.
Abstract: Additive Manufacturing is currently growing fast, especially fused deposition modeling (FDM), also known as fused filament fabrication (FFF). When manufacturing parts use FDM, there are two key parameters—strength of the part and dimensional accuracy—that need to be considered. Although FDM is a popular technology for fabricating prototypes with complex geometry and other part product with reduced cycle time, it is also limited by several drawbacks including inadequate mechanical properties and reduced dimensional accuracy. It is evident that part qualities are greatly influenced by the various process parameters, therefore an extensive review of the effects of the following process parameters was carried out: infill density, infill patterns, extrusion temperature, layer thickness, nozzle diameter, raster angle and build orientation on the mechanical properties. It was found from the literature that layer thickness is the most important factor among the studied ones. Although manipulation of process parameters makes significant differences in the quality and mechanical properties of the printed part, the ideal combination of parameters is challenging to achieve. Hence, this study also includes the influence of pre-processing of the printed part to improve the part strength and new research trends such as, vacuum-assisted FDM that has shown to improve the quality of the printing due to improved bonding between the layers. Advances in materials and technologies that are currently under development are presented. For example, the pre-deposition heating method, using an IR lamp of other technologies, shows a positive impact on the mechanical properties of the printed parts.

79 citations