R. R. Arakerimath
College of Engineering and Management, Kolaghat
33 Papers
40 Citations
R. R. Arakerimath is an academic researcher from College of Engineering and Management, Kolaghat. The author has contributed to research in topics: Engineering & Taguchi methods. The author has an hindex of 4, co-authored 22 publications. Previous affiliations of R. R. Arakerimath include Savitribai Phule Pune University.
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Papers
Experimental investigation and optimization of a low-temperature thermoelectric module with different operating conditions
TL;DR: In this paper, a comparison was made by varying the various operating parameters such as heat source temperature, the flow rate of the cold fluid and the external load resistance, and three factors, including external load resistances, mass flow rate, and heater temperature, along with different levels were taken into account.
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Prediction and optimization of multipoint dimple sheet forming of structural steel using Taguchi method
G.S. Waghmare,R. R. Arakerimath +1 more
TL;DR: In this article, the effect of the process parameters to obtain the optimal multipoint forming design of the dimple sheet was investigated in terms of optimization using finite element technique and Taguchi method.
7
•Journal Article
Flow and heat transfer analysis of various ribs for forced convection heat transfer
TL;DR: In this paper, a CFD analysis of different shape ribs such as V-ribs, triangular and rectangular ribs placed in rectangular duct has been performed in two stages: 1. Modeling of ribs for different shapes. 2. Analysis of flow and predict the best suited Rib among the various ribs considered.
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Parametric Analysis of Magnetorheological Strut for Semiactive Suspension System Using Taguchi Method
R. N. Yerrawar,R. R. Arakerimath +1 more
TL;DR: In this paper, the authors used the Taguchi L16 array and S/N ratio analysis to select the best results by parameter optimization with a minimum number of test runs in a semi-active suspension system.
Parametric Optimization of Biodiesel Fuelled Engine Noise using the Taguchi Method
S. A. Patil,R. R. Arakerimath +1 more
TL;DR: In this article, the authors examined the optimization of diesel blends, load, and compression ratio in the aspect of reducing noise on a Kirloskar single-cylinder diesel engine.