Peer Reviewed Article
Vol. 4 (2019)
A Comparative Study of Rubber Polymerization Methods: Vulcanization vs. Thermoplastic Processing
Sr. SAS Programmer, Clinical Trial Software & Data Analysis (Cytel), 675 Massachusetts Ave. Cambridge, MA 02139, USA
Industrial Chemist, Production Department, National Rubber Corporation, Canonsburg, PA, USA
Abstract
Vulcanization and thermoplastic processing—two basic techniques for rubber polymerization—are compared in this study with an emphasis on their mechanical, chemical, and environmental characteristics. The study aimed to assess and contrast thermoplastic elastomers (TPEs) and vulcanized rubber performance characteristics for various industrial applications. A thorough analysis of the body of research on rubber polymerization techniques and secondary data sources was part of the process. Scientific journals, research papers, and industry reports were examined to obtain information about the chemical structures, mechanical characteristics, processing effectiveness, and environmental effects of vulcanization and thermoplastic processing. Critical studies show that the cross-linked network structure of vulcanized rubber is responsible for its remarkable mechanical strength, resilience, and longevity. Conversely, thermoplastic elastomers are recyclable, versatile, and offer design freedom, which makes them appropriate for applications where processing simplicity and sustainability are top priorities. The policy's consequences include reducing resource depletion and environmental effects by promoting sustainable methods in rubber manufacturing and providing incentives for research into recyclable rubber compounds. This comparative study promotes sustainability and efficiency in rubber polymerization processes by offering valuable insights for material selection, process optimization, and policy creation in the rubber sector.
References
- Anumandla, S. K. R. (2018). AI-enabled Decision Support Systems and Reciprocal Symmetry: Empowering Managers for Better Business Outcomes. International Journal of Reciprocal Symmetry and Theoretical Physics, 5, 33-41. https://upright.pub/index.php/ijrstp/article/view/129
- Khair, M. A. (2018). Security-Centric Software Development: Integrating Secure Coding Practices into the Software Development Lifecycle. Technology & Management Review, 3, 12-26. https://upright.pub/index.php/tmr/article/view/124
- Koehler, S., Dhameliya, N., Patel, B., & Anumandla, S. K. R. (2018). AI-Enhanced Cryptocurrency Trading Algorithm for Optimal Investment Strategies. Asian Accounting and Auditing Advancement, 9(1), 101–114. https://4ajournal.com/article/view/91
- Kosaentor, K., Kongmon, E., Thongbai, C., Rimjaem, S. (2017). Simulation of Irradiation-based Processing System for Natural Rubber Vulcanization. Key Engineering Materials, 751, 252-257. https://doi.org/10.4028/www.scientific.net/KEM.751.252
- Maddula, S. S. (2018). The Impact of AI and Reciprocal Symmetry on Organizational Culture and Leadership in the Digital Economy. Engineering International, 6(2), 201–210. https://doi.org/10.18034/ei.v6i2.703
- Mullangi, K. (2017). Enhancing Financial Performance through AI-driven Predictive Analytics and Reciprocal Symmetry. Asian Accounting and Auditing Advancement, 8(1), 57–66. https://4ajournal.com/article/view/89
- Mullangi, K., Maddula, S. S., Shajahan, M. A., & Sandu, A. K. (2018). Artificial Intelligence, Reciprocal Symmetry, and Customer Relationship Management: A Paradigm Shift in Business. Asian Business Review, 8(3), 183–190. https://doi.org/10.18034/abr.v8i3.704
- Nasir, S. M., Ismail, K. A., & Shayfull, Z. (2016). Application of RSM to Optimize Moulding Conditions for Minimizing Shrinkage in Thermoplastic Processing. Key Engineering Materials, 700, 12-21. https://doi.org/10.4028/www.scientific.net/KEM.700.12
- Pajarito, B. (2015). Effect of Ingredient Loading on Vulcanization Characteristics of a Natural Rubber Compound. Advanced Materials Research, 1125, 50-54. https://doi.org/10.4028/www.scientific.net/AMR.1125.50
- Pydipalli, R. (2018). Network-Based Approaches in Bioinformatics and Cheminformatics: Leveraging IT for Insights. ABC Journal of Advanced Research, 7(2), 139-150. https://doi.org/10.18034/abcjar.v7i2.743
- Richardson, N., Pydipalli, R., Maddula, S. S., Anumandla, S. K. R., & Vamsi Krishna Yarlagadda. (2019). Role-Based Access Control in SAS Programming: Enhancing Security and Authorization. International Journal of Reciprocal Symmetry and Theoretical Physics, 6, 31-42. https://upright.pub/index.php/ijrstp/article/view/133
- Rodriguez, M., Tejani, J. G., Pydipalli, R., & Patel, B. (2018). Bioinformatics Algorithms for Molecular Docking: IT and Chemistry Synergy. Asia Pacific Journal of Energy and Environment, 5(2), 113-122. https://doi.org/10.18034/apjee.v5i2.742
- Sandu, A. K., Surarapu, P., Khair, M. A., & Mahadasa, R. (2018). Massive MIMO: Revolutionizing Wireless Communication through Massive Antenna Arrays and Beamforming. International Journal of Reciprocal Symmetry and Theoretical Physics, 5, 22-32. https://upright.pub/index.php/ijrstp/article/view/125
- Shajahan, M. A. (2018). Fault Tolerance and Reliability in AUTOSAR Stack Development: Redundancy and Error Handling Strategies. Technology & Management Review, 3, 27-45. https://upright.pub/index.php/tmr/article/view/126
- Tejani, J. G. (2017). Thermoplastic Elastomers: Emerging Trends and Applications in Rubber Manufacturing. Global Disclosure of Economics and Business, 6(2), 133-144. https://doi.org/10.18034/gdeb.v6i2.737
- Trujillo-de S. G., Rojas-de G. C., García-Lara, S., Verdolotti, L., Di Maio, E., Alvarez, M. M. (2015). Thermoplastic Processing of Blue Maize and White Sorghum Flours to Produce Bioplastics. Journal of Polymers and the Environment, 23(1), 72-82. https://doi.org/10.1007/s10924-014-0708-1
- Vogt, S., Baghaei, B., Kadi, N., & Skrifvars, M. (2018). Determination of Processing Parameters for Thermoplastic Biocomposites Based on Hybrid Yarns Using Finite Elements Simulation. Journal of Composites Science, 2(1), 11. https://doi.org/10.3390/jcs2010011
- Wu, X., Li, X., Lu, H., Wen, X., Lan, L. (2017). Effect of Vulcanization Temperature and Humidity on the Properties of RTV Silicone Rubber. IOP Conference Series: Materials Science and Engineering, 207(1), 012011. https://doi.org/10.1088/1757-899X/207/1/012011
- Ying, D., Patel, B., & Dhameliya, N. (2017). Managing Digital Transformation: The Role of Artificial Intelligence and Reciprocal Symmetry in Business. ABC Research Alert, 5(3), 67–77. https://doi.org/10.18034/ra.v5i3.659
- Zhang, Y. X., & Li, B. (2014). Effect of Electrical Conductivity and Physical Performance About Vulcanization System in Conductive Silicone Rubber. Applied Mechanics and Materials, 577, 39-43. https://doi.org/10.4028/www.scientific.net/AMM.577.39
-
Samuel Koehler,
Ferdouse Ara Tuli,
Explainable AI: Meeting Transparency and Accountability Demands in Data Science
,
Technology & Management Review: Vol. 4 (2019)
-
Aleena Varghese,
Md. Tariqul Islam Bhuiyan,
Emerging Trends in Compressive Sensing for Efficient Signal Acquisition and Reconstruction
,
Technology & Management Review: Vol. 5 (2020)
-
Mohamed Ali Shajahan,
Fault Tolerance and Reliability in AUTOSAR Stack Development: Redundancy and Error Handling Strategies
,
Technology & Management Review: Vol. 3 (2018)
-
Marcus Rodriguez,
Manzoor Anwar Mohammed,
Rahimoddin Mohammed,
Prasanna Pasam,
Raghunath Kashyap Karanam,
Sai Charan Reddy Vennapusa,
Narasimha Rao Boinapalli,
Oracle EBS and Digital Transformation: Aligning Technology with Business Goals
,
Technology & Management Review: Vol. 4 (2019)
-
Sreekanth Dekkati,
Upendar Rao Thaduri,
Innovative Method for the Prediction of Software Defects Based on Class Imbalance Datasets
,
Technology & Management Review: Vol. 2 (2017)
-
Vishal Reddy Vadiyala,
Innovative Frameworks for Next-Generation Cybersecurity: Enhancing Digital Protection Strategies
,
Technology & Management Review: Vol. 4 (2019)
-
Parikshith Reddy Baddam,
Swathi Kaluvakuri,
The Power and Legacy of C Programming: A Deep Dive into the Language
,
Technology & Management Review: Vol. 1 (2016)
-
Vishal Reddy Vadiyala,
Parikshith Reddy Baddam,
Mastering JavaScript's Full Potential to Become a Web Development Giant
,
Technology & Management Review: Vol. 2 (2017)
-
Swetha Reddy Thodupunori,
Sai Srujan Gutlapalli,
Overview of LeOra Software: A Statistical Tool for Decision Makers
,
Technology & Management Review: Vol. 3 (2018)
You may also start an advanced similarity search for this article.