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RISS 인기검색어
- 검색키워드
- 저자 : Kailash Chaudhary (검색결과 3 건)
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Optimal design of planar slider-crank mechanism using teaching-learning-based optimization algorithm
Kailash Chaudhary,Himanshu Chaudhary 대한기계학회 2015 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.29 No.12
In this paper, a two stage optimization technique is presented for optimum design of planar slider-crank mechanism. The slidercrankmechanism needs to be dynamically balanced to reduce vibrations and noise in the engine and to improve the vehicle performance. For dynamic balancing, minimization of the shaking force and the shaking moment is achieved by finding optimummass distribution of crank and connecting rod using the equimomental system of point-masses in the first stage of the optimization. In the second stage, their shapes are synthesized systematically by closed parametric curve, i.e., cubic B-spline curve correspondingto the optimum inertial parameters found in the first stage. The multi-objective optimization problem to minimize boththe shaking force and the shaking moment is solved using Teaching-learning-based optimization algorithm (TLBO) and its computationalperformance is compared with Genetic algorithm (GA).
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Dynamic balancing of planar mechanisms using genetic algorithm
Kailash Chaudhary,Himanshu Chaudhary 대한기계학회 2014 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.28 No.10
This paper presents an optimization technique to dynamically balance the planar mechanisms in which the shaking forces and shakingmoments are minimized using the genetic algorithm (GA). A dynamically equivalent system of point-masses that represents each rigidlink of a mechanism is developed to represent link’s inertial properties. The shaking force and shaking moment are then expressed interms of the point-mass parameters which are taken as the design variables. These design variables are brought into the optimizationscheme to reduce the shaking force and shaking moment. This formulates the objective function which optimizes the mass distribution ofeach link. First, the problem is formulated as a single objective optimization problem for which the genetic algorithm produces betterresults as compared to the conventional optimization algorithm. The same problem is then formulated as a multi-objective optimizationproblem and multiple optimal solutions are created as a Pareto front by using the genetic algorithm. The masses and inertias of the optimizedlinks are computed from the optimized design variables. The effectiveness of the proposed methodology is shown by applying it toa standard problem of four-bar planar mechanism available in the literature.
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When to Discharge a Patient After Endoscopy: A Narrative Review
Swapnil Sahebrao Walke,Shamshersingh Chauhan,Vikas Pandey,Rahul Jadhav,Vipul Chaudhari,Deepti Vishwanathan,Kailash Kolhe,Meghraj Ingle 대한소화기내시경학회 2022 Clinical Endoscopy Vol.55 No.1
Video endoscopy is an important modality for the diagnosis and treatment of various gastrointestinal diseases. Most endoscopicprocedures are performed as outpatient basis, sometimes requiring sedation and deeper levels of anesthesia. Moreover, advancesin endoscopic techniques have allowed invasion into the third space and the performance of technically difficult procedures thatrequire the utmost precision. Hence, formulating strategies for the discharge of patients requiring endoscopy is clinically and legallychallenging. In this review, we have discussed the various criteria and scores for the discharge of patients who have undergoneendoscopic procedures with and without anesthesia.
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