Maintenance Priority of Racing Road Bicycle using Multi-Criteria Decision-Making Methods: A Review

Dharmpal Deepak, Sulakshna Dwivedi, Manjunatha. C, Harnam Singh Farwaha — Thu, 24 Sep 2026 00:00:00 +0000

The study offers an alternative to the conventional failure mode and effect analysis (FMEA) method for prioritizing failure modes: a multi-factor decision-making approach. Road bikes designed for racing are highly tuned vehicles built to perform very well in competitive settings. But careful upkeep is required due to the demanding nature of racing, as well as normal wear and tear from high-speed movements and extended use. Even while road bike racing recognizes the need of maintenance, there is a noticeable lack of information in the literature regarding systematic approaches for maintenance decision-making. Existing procedures frequently lack a thorough framework that incorporates a variety of factors, such as durability, cost-effectiveness, racing performance, and safety issues. Furthermore, because racing situations are dynamic, it is necessary to have maintenance procedures that are flexible enough to quickly adjust to changing conditions and specifications. The major goal of this project is to create a methodical framework for employing MCDM techniques to optimize the maintenance of road bikes used for racing. The goal of this framework is to improve racing performance while minimizing downtime, lowering maintenance costs, and guaranteeing rider safety by incorporating several criteria, including major and small failures. This research aims to offer racing teams and enthusiasts an organized approach to maintenance decision-making catered to the particular needs of high-performance racing scenarios through the application of TOPSIS, SAW, and VIKOR techniques. The project intends to increase road racing bicycle efficiency, durability, and overall performance by methodically analyzing and prioritizing different maintenance procedures. This will help to progress both cycling technology and athletic performance. Nine criteria (Chance of failure, non-detection of failure, Level of skill needs, Economic safety, Days necessary for the maintenance, Spare parts availability, Machine Reliability, Cost per kilometre, Lead Repair Time) are used to establish the priority ranking.

A Comprehensive Review of Thermal Performance Enhancement in Solar Ponds Using Mathematical Modeling and CFD Techniques

Mon, 22 Jun 2026 00:00:00 +0000

Solar ponds comprise efficient and economical means of harnessing solar energy. In many applications such as power generation, desalination, and space heating technologies, this system is employed extensively. The study of solar pond performance is analysed in two ways: one method of mathematical modelling and the second board simulation (CFD) methodology. This review explores the modelling of solar radiation, which falls under the estimation for the beam, diffuse, and global radiation. A focus will then be on the role of climatic data as well as regression-based methods (like Angstrom correlations) for the improvement of solar energy predictions. Concerning temperature distribution and energy storage must be investigated in detail by discussing the basic mechanisms of heat transfer, such as conduction, convection, and radiation, in their several manifestations to understand it. However, salinity gradient systems are particularly difficult to model because they involve two critical complicated fluids: water and brine. But CFD is demonstrated to be very good at this, with a variety of models and boundary conditions a novice user could fiddle with. The design configurations differ between solar ponds and conventional types as well as ones based on designing geometry with an internal heat exchanger, like serpentine and helical tubes, which have been reviewed to compare their performance. It was observed that advanced CFD simulations with refined meshing and accurate boundary conditions significantly improve the predictive accuracy of system efficiency. The validation was done with the experimental and literature data, and it confirms the reliability of the modelling approach. On the broader considerations, this review provides notable insights into advances in solar pond technology and identifies the important factors affecting the thermal efficiency and the heat extraction rate. The work will contribute significantly toward efficient utilisation of solar ponds if its design is optimised for sustainability.

How to cite this article:
Taysif M, Gwatiya A. Department of Mechanical Engineering, Vedica Institute of Technology Bhopal, Madhya Pradesh, India. J Adv Res Appl Mech Compu Fluid Dyna 2026; 13(3&4): 1-9.

Journal of Advanced Research in Applied Mechanics & Computational Fluid Dynamics

Maintenance Priority of Racing Road Bicycle using Multi-Criteria Decision-Making Methods: A Review

A Comprehensive Review of Thermal Performance Enhancement in Solar Ponds Using Mathematical Modeling and CFD Techniques