Pravin P. Patil

Performance evaluation of a copper omega type Coriolis mass flow sensor with an aid of ANFIS tool

The performance evaluation of a copper omega type Coriolis mass flow sensor using an adaptive neuro-fuzzy inference system (ANFIS) has been studied for influencing input design parameters. The exhaustive experimentation has been carried out under various operational conditions and further this data set is utilized for modeling using ANFIS. The results are in good agreement with the experimental results stating that this technique may be applied to predict the performance of mass flow sensor.

Material-Based Vibration Characteristic Analysis of Heavy Vehicle Transmission Gearbox Casing Using Finite Element Analysis

Transmission system is the most important part of the vehicle assembly. Truck transmission casing was subjected to vibration induced by the vehicle running, varying speed, and torque conditions. It is required to find the natural frequency and mode shape for accurate prediction of transmission casing life and prevent it from damage. The main objective of this research work is to find the influence of transmission casing material on natural frequency and mode shape of free vibration. Casing is made of material like cast iron, Al alloys, Mg alloys, structural steel, and composites. In this paper, the free vibration analysis of transmission casing has been performed by finite element simulation using ANSYS 14.5 software. The vibration patterns for first twenty modes were studied for all types of materials. The mode shapes show that the natural frequency of all materials varies in the range of 1,000–3,800 Hz. The analysis results were compared with experimental result available in the literature.

Response surface modeling of vibrating omega tube (Copper) electromechanical Coriolis mass flow sensor

Response Surface Methodology (RSM) is a combination of statistical and mathematical techniques to represent the relationship between the inputs and outputs of a physical system by explicit functions. This methodology has been widely employed in many applications such as design optimization, response prediction and model validation. But so far the literature related to its application in Coriolis mass flow sensing is scarce. Therefore the present work evaluates the effect of sensor location, excitation frequency on the performance of Coriolis Mass Flow Sensor (CMFS). The experiments were performed in a systematic manner with three successive trials using the indigenously developed setup of CMFS. Central composite design of RSM was adopted for analyzing the results. A second order, non-linear mathematical model has been developed for establishing the relationship among design parameters. Analysis of variance (ANOVA) has been performed to verify the fit and adequacy of the developed mathematical models.

FEA Simulation Based Performance Study of Multi Speed Transmission Gearbox

The main objective of this research work is to investigate the performance of automobile transmission gearbox under the influence of thermal properties variation of gearbox lubricant. An assumption has been made that the air-gear oil mist within transmission is under steady state condition, in isothermal equilibrium with the transmission gear oil bath of lubricant. The lubrication in multi speed transmission is subjected to thermo-elastohydrodynamic lubrication. The study here analyzed transmission in second gear pair. In full torque loading condition the high temperature generated due to meshing action of gears and frictional conditions between the transmission gear train changes the thermo-physical property of gear oil. The overall vehicle transmission gearbox performance is governed by the gear oil properties and it also effects the fuel consumption. This research study was performed at two higher different temperature range of gear oil.The analysis result shows that the gearbox oil thermal properties directly effect the performance and life span of automobile transmission gearbox.

Control of double inverted pendulum (DIP) using fuzzy hybrid adaptive neuro controller

This paper presents a new methodological approach for selection of appropriate type and number of Membership function (MFs) for the effective control of Double Inverted Pendulum (DIP). A Matlab-Simulink model of the system is built using governing mathematical equations. The relation between error tolerance of successive approximations and the number of MFs for controllers is also shown. Stabilization is done using Fuzzy and Adaptive Neuro Fuzzy Inference System (ANFIS) controllers having triangular and gbell MFs respectively. The proposed ANFIS and fuzzy controller stabilizes DIP system within 2.5 and 3.0 seconds respectively. All the three controllers have shown almost zero amount of steady state error. Both the controllers gives excellent result which proves the validity of the proposed model. ANFIS controller provides better results as compared to fuzzy controller. Results for Settling time (s), Steady state error and Maximum overshoot (degrees) for each input and output are elaborated with the help of graphs and tables.

Sustainable Food Supply Chain Management Implementation Using DEMATEL Approach

The importance of sustainable food supply chain management is to overcome the wastage in food manufacturing industries. It benefits the industries to minimize the stress demand of food. The aim of current work is to assess success factors related to the successful implementation of sustainable food supply chain management. On the basis of the literature survey, ten success factors were identified and analyzed with the help of decision-making trial and evaluation laboratory (DEMATEL) approach. DEMATEL technique is useful for the interrelation of success factors among them and then divides it into cause and effect for the further investigation. According to the present research, food quality and safety was attributed the highest importance among other success factors for the successful adoption of sustainable food supply chain management initiatives. Present work helps managers and higher authorities in the industries for devising long-term decision policies in effective managing sustainable food supply chain management implementation.

Dynamic Analysis of Heavy Vehicle Medium Duty Drive Shaft Using Conventional and Composite Material

The main highlight of this study is structural and modal analysis of single piece drive shaft for selection of material. Drive shaft is used for torque carrying from vehicle transmission to rear wheel differential system. Heavy vehicle medium duty transmission drive shaft was selected as research object. Conventional materials (Steel SM45 C, Stainless Steel) and composite materials (HS carbon epoxy, E Glass Polyester Resin Composite) were selected for the analysis. Single piece composite material drive shaft has advantage over conventional two-piece steel drive shaft. It has higher specific strength, longer life, less weight, high critical speed and higher torque carrying capacity. The main criteria for drive shaft failure are strength and weight. Maximum modal frequency obtained is 919 Hz. Various harmful vibration modes (lateral vibration and torsional vibration) were identified and maximum deflection region was specified. For single-piece drive shaft the natural bending frequency should be higher because it is subjected to torsion and shear stress. Single piece drive shaft was modelled using Solid Edge and Pro-E. Finite Element Analysis was used for structural and modal analysis with actual running boundary condition like frictional support, torque and moment. FEA simulation results were validated with experimental literature results.

FEA Based Study of Loose Transmission Gearbox Housing

Transmission gearbox housing is subjected to noise and vibration induced by internal harmonic excitation. The internal harmonic excitation produces a dynamic mesh force, which is transmitted to the housing through the shafts and bearings and causes transmission failure. The main objective of this research work is to study the relation between the transmission vibration and the positional fixed constraints of vehicle frame by comparing the free vibration results of zero displacement constraint condition to positional constraint of the different number of connecting bolts. The vehicle gearbox housing is mounted on vehicle frame using connecting bolts fixture. The present design of heavy vehicle truck transmission housing is mounted on vehicle frame using 37 connecting bolts on five different positions. The study has been completed in two parts, in first parts all 37 connecting bolts were fixed on vehicle frame and in second part of study the front and bottom positional bolts were loosened to study the relation between vibration and constraint connecting bolts. Reciprocity Principle was used to apply the loads on housing. The first 20 vibration mode shape and natural frequencies were calculated using ANSYS 14.5. The study has theoretical and practical importance for the structure optimization of gearbox housing. ANSYS 14.5 is used as FEA based analysis tool. The natural frequency for zero displacement condition varies from 1669 Hz to 3576 Hz and for loose transmission housing frequency varies from 750 Hz to 3802 Hz. The analysis results is verify with experimental results available in literature.

Prediction modeling of Coriolis type mass flow: Sensor using neural network

The neural network (NN) technique has been utilized for prediction of performance of omegatube type Coriolis mass flow sensor. The results show that a well trained and well tested NN model has the capability to predict the performance of mass flow sensor for varying design parameters depending on the availability of the data and can be used as an alternative to the physical models in the sense that the results can be produced in a fast and cost effective way. The values of correlation coefficient (R) for the training, testing and whole datasets indicates that the NN results are in good agreement with the experimental results.

Analyzing Challenges to Transportation for Successful Sustainable Food Supply Chain Management Implementation in Indian Dairy Industry

Food Corporation of India (FCI) and Comptroller and Auditor General of India (CAG) clearly mentioned in their reports that transportation is a critical issue nowadays in Indian dairy industries. Increased population in India forced the companies to add sustainability in their food processing and manufacturing to meet the increasing demands. Thus, sustainable food supply chain management (SFSCM) helps to reduce the wastage of food throughout the food supply chain. For successful implementation of SFSCM, the present work is mainly focused on challenges in transportation. The challenges were analyzed by new method, i.e., best worst method (BWM). This method is generally used for solving (MCDM) multi-criteria decision-making problems. In MCDM problem, the best alternative is selected by comparing number of alternatives with respect to selected criteria. In BWM, the policy maker identifies the best (very important) and the worst (less important) criteria. Eight challenges were identified from the literature review and experts’ opinion. The important factors of the BWM method include less comparison data and more reliable comparisons.