The mahua (Madhuca indica) is a non edible oil tree abundantly found in India. kernel of fruit contains 35–40% which can be good source biodiesel. In this paper biodiesel has been prepared from raw by transesterification process and different properties have studied. It that the physico-chemical are within range specification standards like ASTM D-6751 USA, EN-14214 Europe IS-15607 around 41.2% saturated 58.8% unsaturated fatty acid. Though viscosity reduces after transesterification, still...

Now-a-days biodiesel is gaining attention for its positive impact on the environment. The vegetable oils are major sources of biodiesel. For programme in India, jatropha (Jatropha curas) has been identified as one most suitable tree borne non-edible oil seed. But drawback poor oxidation stability. mahua (Madhuca indica) another seed found India and production potential about 60 MT per annum. Its content around 35–40% calorific value close to that mineral diesel. In this paper, an attempt...

Design assistants are frameworks, tools or applications intended to facilitate both the creative and technical facets of design processes. Large language models (LLMs) AI systems engineered analyze produce text resembling human language, leveraging extensive datasets. This study introduces a framework wherein LLMs employed as Assistants, focusing on three key modalities within Process: Idea Exploration, Dialogue with Designers, Evaluation. Importantly, our is not confined singular process...

Recent trends in path planning have led to a proliferation of studies that find solutions the problems an unknown cluster environment. This study aims optimum impact-free length for mobile robot with multi-objective optimization approach. The problem is formulated by using and safety aspect as two objectives. A hybrid population-based algorithm, i.e. particle swarm chemical reaction (HPCRO) has been used obtain smooth environment circular and/or polygonal obstacles. results HPCRO algorithm...

Lightweight is one of the most important criterion in optimum design gear set for motorsport and aerospace application. A tradeoff between weight failure modes a subject interest researchers industry. In present work single-stage spur optimized. This nonlinear constrained optimization formulation has been solved by using differential evolution algorithm. total six variables corresponding to geometry material property are considered. The results obtained compared with those published...

With the increasing demands of high surface finish, development newer hardest material and machining complex shape geometries, conventional process are now being replaced by non-traditional processes. Electrical discharge (EDM) is one processes which based on thermoelectric energy between work piece an electrode. A pulse electrode occurs in a small gap removes unwanted from through melting vaporizing. The must have electrical conductivity to generate spark. Surface roughnesses (SR), higher...

Electrical discharge machining is an alternative process for complex and intricate shapes. In this paper, inter-relationship of various electrical parameters, namely current, pulse on off time dielectric flow rate material removal (MRR), tool wear (TWR), surface finish ( SR a ) dimensional tolerance using Taguchi–Grey relational analysis. The response methodology used to develop second order model MRR, TWR in terms parameters. Finally, multi-objective optimization problem formulated by ....

The paper presents procedure for design optimization of a spur gear set with the objective minimization weight, contact stress along path and optimum film thickness at point. Particle swarm optimization, particle based teaching learning Jaya algorithms are presented here to ensure remarkable reduction in weight profile modified adequate point contact. parametric sensitivity analysis performed recommended manufacturing tolerance be maintained different critical variables. using finite element...

The development in manufacturing has insisted upon the fabrication of microdrilled holes on orthopedic implants, with finished side wall (devoid cracks and burr), thin recast layer, low taper, improved circularity at entry exit hole. In this study, therefore, a multiobjective optimization wire electric discharge machining microdrilling response characteristics is addressed order to improve hole quality viability implants. To hole, hybrid statistical analysis developed based grey relational...

In this study, the workspace volume of a 3R manipulator has been maximized using biologically inspired optimization algorithm, namely Adaptive Cuckoo Search (ACS) algorithm. The proposed algorithm is tested on four diverse cases involving different constraints and without imposing any constraint. outcomes study are compared with standard results heuristics, such as Genetic Algorithm (GA), Differential Evolution (DE), Particle Swarm Optimization (PSO), Bacteria Foraging (BFA), (CS)...

AISI D3 steel is a new kind of hardened tool with excellent wear resistance. This hard material receives wide promotion, investigation, and application in the die manufacturing industries. In machining steel, has close relationship presence different constituent elements workpiece cutting conditions. study reports an improved experimental investigation approach to analysis effect speed, feed rate, depth cut on forces, surface roughness, wear, chip morphology high-speed turning using hybrid...

ABSTRACTTraditional gear design approaches provide parameters that meet only one requirement at a time. However, major problem with this kind of approach is the deficit for high consistency and reliability. The objective article to present multi-objective optimisation procedure addendum modified spur altered tooth sum. involves implementation Particle Swarm Optimisation (PSO) hybrid PSO- Teaching-learning based (PSO-TLBO) algorithm simultaneous weight contact or hertzian stress along line...

AbstractRobotic manipulators with three-revolute (3R) motions to attain desired positional configurations are very common in industrial robots. The capability of these robots depends largely on the workspace manipulator addition other parameters. In this study, an evolutionary optimization algorithm based foraging behaviour Escherichia coli bacteria present human intestine is utilized optimize volume a 3R manipulator. new method modified from original for faster convergence. This also useful...