scholarly journals Application of Jaw Type Flexible Clutches in Human Powered Machine: A Literature Review

2021 ◽  
Vol 1206 (1) ◽  
pp. 012017
Author(s):  
Nitin Sawarkar ◽  
K S Zakiuddin ◽  
Roshan Umate ◽  
Rajkumar Chagde

Abstract This article presents the topical progresses in the arena of an approach to articulate an experimental databased model for jaw type flexible clutches. The developing countries are facing very acute problems of the energy crisis. It has become essential to use human energy for energizing the manufacturing process machine. This kind of machine necessitates a flexible clutch for torque transmission. Due to the intricate impact phenomenon, flexible clutches cannot be deliberate without experimental data. Therefore, the experimentation methodology and experimental setup to evaluate the performance of torque transmitted by the clutch have been augment. It is obliging for selection of the optimum clutch-type for various applications in low powered processing machines. This study of analysing suitable material can be useful for the comparative study of Jaw type flexible clutches and their transmission ability. Mathematical model and Artificial Neural Network (ANN) development are essential, to evaluate the belongings of altered components and to make forecasts about behaviour.

2013 ◽  
Vol 8 (1) ◽  
pp. 53-70 ◽  
Author(s):  
Amit Kumar Singh ◽  
Barjeev Tyagi ◽  
Vishal Kumar

Abstract To get the better product quality and to decrease the energy consumption of the distillation column, an accurate and suitable nonlinear model is crucial important. In this work, two types of model have been developed for an existing experimental setup of continuous binary distillation column (BDC). First model is a theoretical tray-to-tray binary distillation model for describing the steady-state behavior of composition in response to changes in reflux flows and in reboiler duty. Another model is an artificial neural network (ANN)–based input/output data relationship model. In ANN-based model, temperature of first tray, feed flow rate, and column pressures have been taken in addition to reflux flow rate and reboiler heat duty as inputs to give the more accurate I/O relationship. The comparison of output of ANN model and the equation-based model with the real-time output of the experimental setup of BDC has been given for the validation of developed models.


2021 ◽  
Vol 1 (3) ◽  
pp. 9-36
Author(s):  
Luís Valadares Tavares ◽  
Pedro Arruda

Public procurement is a main issue in the frontline of Governments fighting COVID 19 pandemic as the need for additional and urgent acquisitions as well as the need to consolidate the supply chains and to promote sustainable and innovative procurement have been a source of deep changes and main challenges disturbing public markets and invalidating several assumptions of the traditional public contracting. In this paper, the development of appropriate public policies to cope with these challenges is studied following the approach suggested by several authors and including four stages: a Stage on Facts and Issues where the main challenges and conditions are studied, the Options Stage to describe which polices and procedures can be adopted, a Values Stage stating the main values to be pursued and, finally, a Policies Stage including the selection of the recommended policies. The analysis of the challenges and facts includes the study of a taxonomy of short and longer term needs and the available options are based on the comparative study of procedures ruled by the European Directives on Public Procurement approved on 2014. The major values to be respected include the principle of competition which is a major institutional principle of the European Treaty and of the Directives as well as the goal of promoting sustainable and innovative public procurement. Several indicators are suggested to describe the application of the public procurement policies adopted across EU and their comparative analysis is presented using the TED data for contracts concerning COVID 19. The case of Portugal is discussed and final remarks about the recommended public policies are also included herein.


2016 ◽  
Vol 13 (1) ◽  
Author(s):  
R. Ibnu Ambarudin

Indonesia is a multicultural country, multiethnic, multi-religious, and multi other things spreaded in the world. Therefore, it needs a wise, appropriate, and effective ways to respond so that the steps taken are not slipped ways and consequently endanger the sustainability of the nation in the future. Multicultural education is required by Indonesia to reduce the occurrence of horizontal conflicts between communities, because of differences in culture, ethnicity, customs, and religion is the emphasizing on learning to appreciate differences and not be regarded as causes of fragmentation. This can be done through selection of suitable material or nuanced tolerance towards all humans in the frame of together and do not emphasize the difference because of the spirit of ideology or their respective groups. Conceptually many religions and beliefs in the shades of multicultural are expected to bring about harmonious relationship, but in the implementation phase are still a lot of gaps between the expectation and realization due to some exclusive-uninded people still in multicultural society. 


2019 ◽  
Vol 70 (7) ◽  
pp. 2429-2433
Author(s):  
Anca Maria Juncan ◽  
Luca Liviu Rus ◽  
Veronica Isabela Craciun ◽  
Andreea Loredana Vonica Tincu ◽  
Claudiu Morgovan

The aim of this study is represented by the description and the selection of an alternative preservative complex, it�s application in the development and formulation of a moisturizer and the comparative study of the efficacy of the cosmetic formulation, versus a traditional preserved cosmetic cream. For an adecvate preservation of the moisturizing cream there was used comparatively, the alternative preservation system Dermosoft LP (Caprylyl Glycol, Glycerin, Glyceryl Caprylic, Phenylpropanol), and the traditional preservative Salinip (Phenoxyethanol, Methyl Paraben, Propyl Paraben, Ethyl Paraben, Butyl Paraben, Isobutyl Paraben). Dermosoft LP has comparable effects to traditional preservatives, and proven efficacy by microbiological Challenge test.


AISI 1045, AISI 1053 and AISI 4140 are the mostly used material for axle shaft of a vehicle. The comparative study of these materials definitely will help in selection of appropriate material for required condition. AISI 4140 has shown greater Young’s modulus, yield strength and tensile strength, but moderate ductility is observed. The lesser ductility of AISI 1053 limits its usage in rear axle shaft. The ductility and Young’s modulus of AISI 1045 is satisfactory, but lower strength is prime concern with it.


Author(s):  
Murli Jha

Abstract: The initial dimensions and weight for the vehicle is considered from the Audi A8 vehicle as a reference. The specifications for the motor and battery are considered for the Mahindra e2o electric vehicle of similar dimensions. The main objective of this paper is to model and perform static analysis on the chassis of a four-seater car. The initial design for the chassis was a space frame body which is very rigid and had very less deflection. The second and final chassis is a ladder type chassis which is most common chassis type being used in Nepal and India. The difference in deflection between both the chassis type is very less, which is about 0.3235 mm for a reasonable reduction in weight which is about 120 Kg. The simulation part is carried out in ANSYS software. The result is selection of best suitable material for chassis on the basis of ANSYS and theoretically calculated result. Keywords: Chassis, Structural Analysis, Optimization, Four seater car


Author(s):  
B. Samanta

Applications of genetic programming (GP) include many areas. However applications of GP in the area of machine condition monitoring and diagnostics is very recent and yet to be fully exploited. In this paper, a study is presented to show the performance of machine fault detection using GP. The time domain vibration signals of a rotating machine with normal and defective gears are processed for feature extraction. The extracted features from original and preprocessed signals are used as inputs to GP for two class (normal or fault) recognition. The number of features and the features are automatically selected in GP maximizing the classification success. The results of fault detection are compared with genetic algorithm (GA) based artificial neural network (ANN)- termed here as GA-ANN. The number of hidden nodes in the ANN and the selection of input features are optimized using GAs. Two different normalization schemes for the features have been used. For each trial, the GP and GA-ANN are trained with a subset of the experimental data for known machine conditions. The trained GP and GA-ANN are tested using the remaining set of data. The procedure is illustrated using the experimental vibration data of a gearbox. The results compare the effectiveness of both types of classifiers with GP and GA based selection of features.


2019 ◽  
Vol 895 ◽  
pp. 230-236
Author(s):  
C.S. Suresh Babu ◽  
Premila Manohar

This work deals with the design of fringe capacitance based non-contact type liquid level sensor employing self-compensation feature. The existing capacitive type sensors require additional compensation to overcome the problem of various stray capacitances, specifically due to atmospheric corrosion. This paper emphasizes on the selection of suitable material to accomplish the self-compensation feature in corrosive environment. Rate of attack of corrosion is studied on Copper (Cu) and Aluminium (Al) samples under drizzling environment. Visual Analysis of SEM images of samples exposed for different durations reveal that Al protects itself from the corrosion. Further, performance evaluation of two sensor units with Cu and Al electrodes under the same drizzling environment beside the respective samples indicate that sensor with Al electrodes facilitates the feature of self-compensation in corrosive environment. Further, the sensor is interfaced with Siemens PLC-S200 for liquid threshold level monitoring.


Author(s):  
Kevin McGarvey ◽  
Michael Biggs ◽  
Jesse Hill ◽  
Michael Panko ◽  
Nicole Bacher ◽  
...  

“Engineering Innovators without Borders” seeks to establish entrepreneurship opportunities for the developing world. Through the Junior/Senior engineering clinics at Rowan University, engineering and business majors work together to develop sustainable devices and business plans. The first technology developed by this project is the human powered grain crusher. The grain crusher project aims to create a cheap and simple mechanical device to grind barley, corn, and other grain. The grain crusher utilizes human energy to crush grains quickly and efficiently. The goal is to provide technological solutions to problems in the developing world by using detailed opportunity recognition evaluations and development of prototypes. The prototypes are then turned over to the developing world for manufacture, distribution, and use. The projects are expected to provide entrepreneurial opportunities for the developing world, alleviate poverty, and improve the quality of life. The grain crusher will be adopted by the DHAN Foundation in India for manufacturing and piloting.


2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Shameer K. Mohammed ◽  
Supriya M. Hariharan ◽  
Suraj Kamal

Underwater acoustic target classifiers are found to have many applications in military and security areas where a higher degree of prediction accuracy is needed that makes classifier efficiency and reliability an interesting subject. Classifiers are often trained with known acoustic target specimens with their characteristic feature set and tested with measurements obtained from the sonar that is deployed in the surveillance or observation zone. The selection of source-specific deterministic features in automatic target recognition (ATR) system is very significant, since it determines the reliability, efficiency, and success rate of the classifier. The robustness of the gammatone cepstral coefficients (GTCC) in combination with the statistical Euclidean distance, artificial neural network (ANN), and hidden Markov model (HMM) classifiers has been investigated, and its performance is compared with that of other feature extraction schemes. The classifier performance has been analyzed in Rayleigh fading conditions, based on which the performance is enhanced by incorporating an autoregressive (AR) Rayleigh fading channel compensation. The performance of the classifier in different operating conditions is investigated, with underwater target signals consisting of the real field data collected during expedition, and the results are presented in this paper.


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