Zobrazeno 1 - 10 of 13 pro vyhledávání: '"H. C. Chittappa"'
1
Study of tensile nature of jute hybrid composite by the variation of S-glass fibers- an outlook from experimental perspective
Autor: H. C. Chittappa, K.C. Chaturvedi
Publikováno v: Materials Today: Proceedings. 46:2783-2786
Hybrid composites possess the spot of traditional materials by meeting the necessities of the aviation, mechanical, space, development, and biomedical applications. Be that as it may, the longing of accomplishing the higher modulus to thickness propo
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::23a40ba95cac1163e2fe93bea7b44088
https://doi.org/10.1016/j.matpr.2021.02.593
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2
Jute/S-Glass reinforced epoxy hybrid composite – A study from flexural and morphological perspective
Autor: H. C. Chittappa, K.C. Chaturvedi
Publikováno v: Materials Today: Proceedings. 47:2537-2540
The components like adaptability in high strength to weight ratio and design is acquiring the energy increasingly as the hybrid polymer composites are perhaps the most conspicuous materials that are as a rule is broadly utilized. Since then, the step
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::732c67ac8528a0fb603706bef49bb354
https://doi.org/10.1016/j.matpr.2021.05.048
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3
Influence of B4C Reinforcement Particles with Varying Sizes on the Tensile Failure and Fractography of LM29 Alloy Composites
Autor: H. C. Chittappa, Virupaxi Auradi, Madeva Nagaral, G. Pathalinga Prasad
Publikováno v: Journal of Failure Analysis and Prevention. 20:2078-2086
In the present work, an attempt has been made to study the mechanical behavior and tensile fractography of 40- and 90-micron-sized boron carbide (B4C) particulate-reinforced light metal (LM) 29 alloy composites. LM29 alloy with 3, 6 and 9 wt. % of 40
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::249eb4bf89805d9ecd719cc5dac0fd89
https://doi.org/10.1007/s11668-020-01021-6
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4
Bearing Fault Classification using Empirical Mode Decomposition and Machine Learning Approach
Autor: G. Manjunatha, H. C. Chittappa
Publikováno v: Journal of Mines, Metals and Fuels. 70:214
Industrial machinery often breakdowns due to faults in rolling bearing. Bearing diagnosis plays a vital role in condition monitoring of machinery. Operating conditions and working environment of bearings make them prone to single or multiple faults.
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e35efbe740e47187e70cffb7031d86c9
https://doi.org/10.18311/jmmf/2022/30060
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5
Bearing Fault Classification Using Statistical Features And Machine Learning Approach
Autor: G. Manjunatha, H. C. Chittappa
Publikováno v: Journal of Mines, Metals and Fuels. 70:104
Bearing degradation is the most common source of faults in machines. In this context, this work presents a monitoring scheme to diagnose bearing faults using machine learning approach. In this approach classification of healthy and faulty conditions
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61fd296e3802eb6463a73a0ebc6df271
https://doi.org/10.18311/jmmf/2022/30676
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6
Effect of inter-ply hybridization on flexural and dynamic mechanical properties of carbon-kevlar/epoxy hybrid composites
Autor: F. D. Guled, H. C. Chittappa
Publikováno v: PROCEEDINGS OF INTERNATIONAL CONFERENCE ON ADVANCES IN MATERIALS RESEARCH (ICAMR - 2019).
The flexural and viscoelastic behavior of a Carbon fiber epoxy matrix composite, Kevlar fiber epoxy matrix composite, Carbon-Kevlar fiber epoxy matrix hybrid composite used for aerospace structures have been evaluated. The influences of inter-ply hyb
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::df8dbeb51085306a58bfa0e4b1e40b1d
https://doi.org/10.1063/5.0022504
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9
A Methodology for Characterization of the Strain Rate-Dependent Behavior of PU Foam
Autor: N.D. Shivakumar, Anindya Deb, H. C. Chittappa, Clifford C. Chou
Publikováno v: SAE International Journal of Materials and Manufacturing. 7:514-519
Polymeric foams are known to be sensitive to strain rate under dynamic loads. Mechanical characterization of such materials would not thus be complete without capturing the effect of strain rate on their stress-strain behaviors. Consistent data on th
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2948792f1579bf6aec4e2e90e89f2b09
https://doi.org/10.4271/2014-01-0539
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