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Influence of Dual Filler Reinforcement on the Curing and Tribo-Mechanical Behaviour of Natural Rubber Nanocomposite for Tire Tread Application

M. Harikrishna Kumar Shankar Subramaniam Rajasekar Rathanasamy Samir Kumar Pal Sathish Kumar Palaniappan
Archives of Metallurgy and Materials | 2021 | vol. 66 | No 3 | 893-899 | DOI: 10.24425/amm.2021.136395
Keywords Natural Rubber Nanoclay Carbon black Composites Tire
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Abstract

A huge amount of carbon black (40-60 phr) was commonly used as a reinforcing material in manufacturing of tires to improve the technical properties of pure rubber. Carbon black causes severe health hazard like skin cancer, respiratory problem due to its fly loss property. This study focusses on reducing the usage of carbon black by replacing it with minimal quantity of nanoclay to compensate the technical properties of rubber. Natural Rubber nanocomposite are fabricated using solution and mechanical mixing method in presence and absence of compatibilizer. Cure characteristics, wear test and mechanical properties were examined. NR nanocomposite with dual filler in presence of compatibilizer showed enhancement in torque values, mechanical and wear resistant property. Wear resistance, tensile strength and modulus of dual filler nanocomposite was increased by 66.7%, 91% and 85% when compared to pure NR. Hence NR nanocomposite with dual filler in presence of compatibilizer was found as a proving and possible nanocomposite for tire application.
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Authors and Affiliations

M. Harikrishna Kumar
1
ORCID: ORCID
Shankar Subramaniam
1
Rajasekar Rathanasamy
1
ORCID: ORCID
Samir Kumar Pal
2
ORCID: ORCID
Sathish Kumar Palaniappan
2
  1. School of Building and Mechanical Sciences, Kongu Engineering College, Perundurai – 638060, Tamil Nadu State, India
  2. Department of Mining Engineering, Indian Institute of Technology, Kharagpur – 721302, West Bengal State, India

A Frontier Statistical Approach Towards Online Tool Condition Monitoring and Optimization for Dry Turning Operation of SAE 1015 Steel

Moganapriya Chinnasamy Rajasekar Rathanasamy Gobinath Velu Kaliyannan Prabhakaran Paramasivam Saravana Kumar Jaganathan
Archives of Metallurgy and Materials | 2021 | vol. 66 | No 3 | 901-909 | DOI: 10.24425/amm.2021.136396
Keywords Coated inserts Microflown sensor flank wear I- Kaz neural network
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Abstract

This research study intends to develop an online tool condition monitoring system and to examine scientifically the effect of machining parameters on quality measures during machining SAE 1015 steel. It is accomplished by adopting a novel microflown sound sensor which is capable of acquiring sound signals. The dry turning experiments were performed by employing uncoated, TiAlN, TiAlN/WC-C coated inserts. The optimal cutting conditions and their influence on flank wear were determined and predicted value has been validated through confirmation experiment. During machining, sound signals were acquired using NI DAQ card and statistical analysis of raw data has been performed. Kurtosis and I-Kaz coefficient was determined systematically. The correlation between flank wear and I-Kaz coefficient was established, which fits into power-law curve. The neural network model was trained and developed with least error (3.7603e-5). It reveals that the developed neural network can be effectively utilized with minimal error for online monitoring.
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Authors and Affiliations

Moganapriya Chinnasamy
1
ORCID: ORCID
Rajasekar Rathanasamy
1
ORCID: ORCID
Gobinath Velu Kaliyannan
2
ORCID: ORCID
Prabhakaran Paramasivam
1
ORCID: ORCID
Saravana Kumar Jaganathan
3 4 5
ORCID: ORCID
  1. Kongu Engineering College, Department of Mechanical Engineering, Perundurai – 638060, Tamil Nadu State, India
  2. Kongu Engineering College, Department of Mechatronics Engineering, Perundurai – 638060, Tamil Nadu State, India
  3. Bionanotechnology Research Group, Ton Duc Thang University, Ho Chi Minh City, Vietnam
  4. Faculty of Applied Sciences, Ton Duc Thang University, Ho Chi Minh City, Vietnam
  5. Department of Engineering, Faculty of Science and Engineering, University of Hull, HU6 7RX, United Kingdom

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