Analysis of factors influencing on performance of solid tires: Combined approach of Design of Experiments and thermo-mechanical numerical simulation

Premarathna, Aruna; Jayasinghe, J. A. S. C.; Gamage, P.; Senanayake, C.D.; Wijesundara, K. K.; Ranatunga, R.R.M.S.K.

doi:10.1016/j.euromechsol.2022.104680

Cited by 6 publications

(2 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…One method to solve these issues is to use properly validated numerical models of composites. Combining such models with design experiments will make it possible to gain the best operating and design parameters [ 72 ].…”

Section: Numerical Simulation Of Temperature Risementioning

confidence: 99%

Review on Heat Generation of Rubber Composites

2022

View full text Add to dashboard Cite

Rubber composites are extensively used in industrial applications for their exceptional elasticity. The fatigue temperature rise occurs during operation, resulting in a serious decline in performance. Reducing heat generation of the composites during cyclic loading will help to avoid substantial overheating that most likely results in the degradation of materials. Herein, we discuss the two main reasons for heat generation, including viscoelasticity and friction. Influencing factors of heat generation are highlighted, including the Payne effect, Mullins effect, interface interaction, crosslink density, bond rubber content, and fillers. Besides, theoretical models to predict the temperature rise are also analyzed. This work provides a promising way to achieve advanced rubber composites with high performance in the future.

show abstract

Section: Numerical Simulation Of Temperature Risementioning

confidence: 99%

Review on Heat Generation of Rubber Composites

2022

View full text Add to dashboard Cite

show abstract

“…As identified, tire performances heavily depend on rubber properties (Li et al, 2018). Due to the quality attributes provided by natural rubber products, solid tires made of natural rubber are utilized in vehicles under severe conditions such as heavy loads, high speeds, and high temperatures (Chetpattananondh et al, 2008;Gent, 1992;Premarathna et al, 2022). Higher levels of safety endurance, stability, puncture resistance, and economic features of solid tires compared to other synthetic products (National Highway Traffic Safety Administration, 2006;Phromjan & Suvanjumrat, 2018) are the main reason for this usage.…”

Section: Introductionmentioning

confidence: 99%

Bottleneck Identification through Simulation Modelling: A Case of Solid Tire Manufacturing Sector

Edirisinghe,

Karunarathne

2023

Management Dynamics in the Knowledge Economy

View full text Add to dashboard Cite

Businesses are constantly making productivity improvements to survive in the highly competitive marketplace. Bottlenecks have been identified as one of the main factors limiting the system performance of manufacturing firms. Thus, identifying bottlenecks in the production process is extremely important to increase productivity. Considering its importance, this case study was designed to identify causes for not meeting the tire target and determine the implications of bottlenecks in the tire manufacturing process. For this purpose, simulation analysis was carried out for the solid resilience tire-building process. Through the investigation, the cushion layer-building process was identified as the bottleneck. To validate the identified limitation, Line balancing and Pareto analysis were conducted. Analysis results confirmed the presence of a bottleneck in the cushion layer-building process. Further, to identify the root causes for not reaching the maximum tire target, Cause-and-Effect analysis and 5WHY analysis were adopted. The study revealed that inadequately maintained outdated machines and frequent power failures are the leading causes of not meeting the maximum production. By answering these issues, the target production can be increased, and the results showed the opportunity to increase the efficiency of the manufacturing process by more than 95%.

show abstract