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International Journal of Nanomanufacturing (3 papers in press)
Experimental Investigations and Machining of Uncoated Carbide Insert CNMG 120408 TTR on Al-SiCP Metal Matrix Nano Composite by Pradyut Kumar Swain, Kasinath Das Mohapatra, Pratyush Kumar Swain Abstract: The present work deals with the turning of aluminium and silicon carbide nano particle nano composite material. It deals with uniform distribution of silicon carbide nano particles (25 nm) with aluminium metal power. The reinforcement SiCp is used with weight % of 1, 1.5 and 2. Initially, compression test has been conducted on Al-SiCp nano composite to study its mechanical properties. The optical microscopy and Transmission Electron Microscopy of Al-SiCp workpiece has been conducted. Further, the experiment was conducted using Taguchi L16 orthogonal array at three different factors and four different levels for machining of Al-SiCp workpiece. The response parameters i.e. Flank wear (VBc) of cutting insert and surface roughness (Ra) of work material have been optimized by Principal Component Analysis. Analysis of Variance reveals, the most influencing parameters during machining is cutting speed and depth of cut for flank wear and depth of cut and feed for surface roughness. Keywords: Aluminium; Composite; Surface roughness; Taguchi; Flank wear; Cutting speed; Depth of cut.
Chromium Remediation Strategy of Iron Oxide Nanoparticles Based Beads by Sathya S, Ragul V, Niyas Ahamed Abstract: This study focused on a kind of high efficiency and low cost iron oxide nanoparticles (IONPs) synthesis and loaded with sodium alginate beads used for remediation of hexavalent chromium [Cr (VI)] contaminated water. Due to high toxicity and mobility of Cr (VI) is considered to be a toxic pollutant. The synthesized IONPs were characterized by UV-Visible and FTIR spectroscopy analysis. The IONPs loaded alginate beads was characterized and its chromium remediation property was evaluated by diphenyl carbazide assay and batch experiment was performed at different pH ranges (pH 2.5 and 7). The present study revealed that Cr (VI) is effectively reduced by IONPs loaded alginate beads nearly 90% at pH 2.5. Finally it was demonstrated that, a cost effective method for the in situ remediation of Cr (VI) was achieved by IONPs loaded alginate beads.rn Keywords: Heavy metal; Hexavalent chromium; Iron oxide nanoparticles; Alginate beads; Bioremediation.
Research on recognition of human lying posture based on neural network by Qi Wang, Xianyu Meng, Cong Li, Hongsheng Liu, Xiquan Yu Abstract: As a high-tech intelligent product, the intelligent nursing bed largely meets the needs of the disabled for self-care, and saves a lot of manpower and material resources. In order to improve the safety and reliability of the intelligent nursing bed and ensure the safety of the user, this paper adds the recognition of the human body's lying posture as a part of the movement signal of the nursing bed. The Kinect sensor is used to track human bones, record human bone data, and preprocess human bone data. Use the pattern recognition toolbox in Matlab to classify the processed data to realize the recognition of the human body's lying posture. The average recognition rate of the five postures is 98.1%. The results show that the model used in this experiment has a high degree of recognition and can greatly improve the safety and reliability of the intelligent nursing bed. Keywords: intelligent nursing bed; recognition of lying posture; Kinect sensor; bone data; neural network. DOI: 10.1504/IJNM.2021.10048832