scholarly journals Thermal model of an asynchronous traction motor of a diesel locomotive

2021 ◽  
Vol 2021 (4) ◽  
pp. 460-468
Author(s):  
I. G. Kiselev ◽  
◽  
D. N. Kurilkin ◽  
M. A. Shreiber ◽  
◽  
...  
Keyword(s):  
Thermal Model ◽  
Thermal Characteristics ◽  
Objective Evaluation ◽  
Behavior Modeling ◽  
Diesel Locomotive ◽  
Modeling Tools ◽  
Steady State Temperature ◽  
Asynchronous Traction Motor ◽  
And Performance ◽  
Cage Rotor

Objective: Evaluation of the temperature regime of the windings of an asynchronous traction electric motor with a squirrel-cage rotor (ATED) of the DAT-350 type of a 2TE25A diesel locomotive using the de- Современные технологии – транспорту 467 ISSN 1815-588Х. Известия ПГУПС 2021/4 veloped thermal model. Methods: The research was carried out by the fi nite element method in the application for calculating steady-state temperature fi elds SolidWorks. Resuls: To ensure the specifi ed service life of the ATED, the temperature rise of the windings must be limited to safe values, based on the insulation class. Therefore, it is crucial that designers and operators have access to accurate and computati onally effi cient, physics-based ATED thermal behavior modeling tools. Practical results: Using the proposed methods, it is possible to accurately and effectively evaluate the thermal characteristics of ATED of promising diesel locomotives. In addition, designers can easily and quickly adjust the parameters and performance characteristics of the ATED in such a way that they are conducive to improving the overall performance of the locomotive.

Design and performance study on a large-scale hybrid CPV/T system based on unsteady-state thermal model

Solar Energy ◽  
2019 ◽  
Vol 177 ◽  
pp. 427-439 ◽  
Author(s):  
Zexin Wang ◽  
Jinjia Wei ◽  
Gaoming Zhang ◽  
Huling Xie ◽  
Muhammad Khalid
Keyword(s):  
Thermal Model ◽  
Large Scale ◽  
Unsteady State ◽  
Performance Study ◽  
And Performance ◽  
T System

scholarly journals Fluid Choice Based on Thermal Model and Performance Testing for Direct Cooled Electric Drive

Energies ◽  
2020 ◽  
Vol 13 (22) ◽  
pp. 5867
Author(s):  
Robert Lehmann ◽  
Arthur Petuchow ◽  
Matthias Moullion ◽  
Moritz Künzler ◽  
Christian Windel ◽  
...  
Keyword(s):  
Heat Transfer ◽  
Thermal Model ◽  
Performance Testing ◽  
Sensitivity Study ◽  
Maximum Heat ◽  
Cooling Fluid ◽  
Two Fluids ◽  
Fluid Properties ◽  
And Performance ◽  
Electric Traction

In this publication, the cooling fluid for direct oil-cooled electric traction drive is investigated. A dedicated thermal resistance model was developed in order to show the influence of the fluid properties on the continuous performance. For this purpose, the heat transfer parameters are adjusted in the simulation using an exponential approach in order to evaluate the cooling fluid. In a sensitivity study, density, heat capacity, thermal conductivity, and viscosity are investigated. Because viscosity, within the range investigated, shows the largest percentage deviation from the reference fluid, the greatest effect on performance can be seen here. In order to check the plausibility of the calculated results of the thermal simulation, two fluids were chosen for performance testing on a dedicated electro motor cooling (EMC) test. Beyond the investigation of heat transfer, aging of the defined fluid at maximum heat input over several hours is also evaluated. Only slight changes of the fluid properties are detected. This publication presents a thermal model for direct oil-cooled drive trains, which consider fluid properties. Furthermore, the model was tested for plausibility on real hardware.

scholarly journals The thermal characteristics of roofs: policy, installation and performance

2017 ◽  
Vol 132 ◽  
pp. 454-459 ◽  
Author(s):  
Clifford A Elwell ◽  
Harper Robertson ◽  
Jez Wingfield ◽  
Phillip Biddulph ◽  
Virginia Gori
Keyword(s):  
Thermal Characteristics ◽  
And Performance

Influence of Carbon Content on Fe-Cu Alloy Material Performance in Induction Motor with Compound Cage Rotor

2011 ◽  
Vol 117-119 ◽  
pp. 1223-1226
Author(s):  
Wei Li Li ◽  
Xiao Chen Liu ◽  
Jun Ci Cao
Keyword(s):  
Carbon Content ◽  
Induction Motor ◽  
Bridge Circuit ◽  
Testing Device ◽  
Cu Alloy ◽  
Alloy Material ◽  
New Type ◽  
And Performance ◽  
Cage Rotor ◽  
Microstructure And Performance

New type Fe-Cu alloy is used in the bar of induction motor with compound cage rotor(IMCCR). In this paper, the preparation of three kinds of Fe-Cu alloy is introduced. The influence of its microstructures, hardness and impact toughness is studied by using metalloscope and scanning electron microscope. Meanwhile, physical propertie such as resistivity, and B-H curve is tested by using magnetic testing device and bridge circuit. The influence of carbon content changing on microstructure and performance of Fe-Cu alloy is analysised, which has positive significance to the new type material using in motor.

Vibro-Acoustic Comfort Assessment Methodology of Residential Buildings in Urban Environment

2014 ◽  
Vol 1041 ◽  
pp. 428-431 ◽  
Author(s):  
Marian Flimel
Keyword(s):  
Urban Environment ◽  
Residential Buildings ◽  
Evaluation Criteria ◽  
Objective Evaluation ◽  
Sound Insulation ◽  
Building Structures ◽  
Assessment Methodology ◽  
Noise Sources ◽  
Acoustic Comfort ◽  
And Performance

Noise in residential buildings should be assessed not only in terms of impact on health, safety and performance of inhabitants, but also for the “value” of the building (apartment) in a certain environment. Building energetic certification implementation is one of the first compulsory legislative evaluation criteria. This paper wants to draw the attention to the need for vibro-accoustic building (apartment) certification. Presented tabular evaluation is an objective evaluation. The reason for that are the tendencies related to noise in environment: increased number and levels of noise sources in buildings’ exterior and interior, increasing demands for sound insulation of building structures and growing number of “noise” complaints.

scholarly journals A simplified thermal model for a clothed human operator with thermoregulation

2010 ◽  
Vol 8 (1) ◽  
pp. 1-18
Author(s):  
Zahid Akhtar Khan ◽  
Irfan Anjum Badruddin magami ◽  
Suresh Maniyan ◽  
Gulam Abdul Quadir
Keyword(s):  
Experimental Data ◽  
Thermal Model ◽  
Present Model ◽  
Ambient Temperatures ◽  
The Core ◽  
Steady State Temperature ◽  
Control Concept ◽  
Human Operators ◽  
Effect Of Age ◽  
Normal Ambient

This paper presents a simplified yet comprehensive mathematical model to predict steady state temperature distribution for various regions of male clothed human operators who are healthy, passive/active and lean/obese under the influence of different environmental conditions using thermoregulatory control concept. The present model is able to predict the core temperature, close to 37oC for a healthy, passive/active and lean/obese operator at normal ambient temperatures. It is observed that due to increase in body fat, BF the skin temperature, of the operator decreases by a small amount. However, effect of age of the operator on is found to be insignificant. The present model has been validated against the experimental data available in the literature.

scholarly journals Effect of Filling Ratio on Thermal Characteristics and Performance of a Pulsating Heat Pipe

2019 ◽  
Vol 9 (2) ◽  
pp. 3341-3345
Keyword(s):  
Heat Pipe ◽  
Thermal Characteristics ◽  
Filling Ratio ◽  
Working Fluid ◽  
Pulsating Heat Pipe ◽  
Key Factors ◽  
Condenser Section ◽  
Oscillating Heat Pipe ◽  
Bottom Heat ◽  
And Performance

Pulsating heat pipes are complex devices for heat transfer and their optimal thermal performance depends mainly on different parameters. This work is about the thermal efficiency of a closed-loop oscillating heat pipe with a diameter of 2.0 mm and 3.0 copper tube inner and outer. For all experiments, the filling ratio (FR) was used 40%, 50 %,70%,80% and heat inputs of 20W, 40W, 60W, and 80W was provided to PHP. The position of the PHP was vertical bottom heat type. The length of evaporator, adiabatic and condenser section was maintained 52 mm,170mm,60mm. Water and benzene were selected as working fluids. From the available literature it is observed that working fluid and filling ratio are key factors in PHP's performance. The results show that the thermal resistance decreases rapidly with the increase in the heat input to 20 to 40 W., while it decreases gradually over 40 to 80W.Simulation is done in CFD and experimental data were equated to the results.

Electrochemical- and Thermal-Performance Model of a High-Temperature SOFC System for Geothermic Fuel Cell Application

2014 ◽  
Author(s):  
Gladys A. Anyenya ◽  
Neal P. Sullivan ◽  
Robert J. Braun ◽  
Buddy Haun ◽  
Mark Daubenspeck
Keyword(s):  
Experimental Data ◽  
High Temperature ◽  
Fuel Cell ◽  
Oil Shale ◽  
Oil And Gas ◽  
Thermal Characteristics ◽  
Simulation Software ◽  
Performance Model ◽  
Modeling Tools ◽  
Electrochemical Model

A one-dimensional model of a high-temperature solid-oxide fuel cell (SOFC) stack contained in a geothermic fuel cell (GFC) assembly is presented. The GFC concept, developed by IEP Technology Inc., involves the harnessing of heat generated during SOFC stack operation for the liberation of oil and gas from oil shale. The first GFC prototype, designed and built by Delphi Automotive, LLC., is comprised of three 1.5-kW SOFC stacks housed in a stainless-steel casing. Hot exhaust gases exiting the stacks are directed out of the stack-containment vessel, rejecting heat to the surroundings before being exhausted above ground. The primary aims of this work are to develop modeling tools to (1) predict the stack electrochemical performance and (2) elucidate the thermal characteristics of the stack assembly during operation through modeling and simulation. Aspen Plus process-simulation software and an embedded electrochemical model are utilized to predict the temperature dynamics and the electrical output of the GFC stack. The stack performance is decomposed with a temperature-dependent Area Specific Resistance (ASR) obtained from analysis of experimental data from a single stack that was operated over a wide temperature range. Independent full-scale stack testing has enabled performance validation of the electrochemical model. Experimental data from the three-stack GFC assembly has been used to calibrate the thermal-modeling approaches and the external heat-rejection predictions. Simulation results for steady-state conditions under hydrogen fuel are presented and compared to experimental data from thermocouples on the GFC prototype. The model will be used to explore the interaction of the geothermic fuel cell with the oil-shale formation in which it is installed.

scholarly journals Low-cost scalable discretization, prediction, and feature selection for complex systems

2020 ◽  
Vol 6 (5) ◽  
pp. eaaw0961 ◽  
Author(s):  
S. Gerber ◽  
L. Pospisil ◽  
M. Navandar ◽  
I. Horenko
Keyword(s):  
Feature Selection ◽  
Complex Systems ◽  
Low Cost ◽  
Data Driven ◽  
Discrete Approximations ◽  
Modeling Tools ◽  
Performance Improvements ◽  
The Mean ◽  
And Performance ◽  
Prediction Problems

Finding reliable discrete approximations of complex systems is a key prerequisite when applying many of the most popular modeling tools. Common discretization approaches (e.g., the very popular K-means clustering) are crucially limited in terms of quality, parallelizability, and cost. We introduce a low-cost improved quality scalable probabilistic approximation (SPA) algorithm, allowing for simultaneous data-driven optimal discretization, feature selection, and prediction. We prove its optimality, parallel efficiency, and a linear scalability of iteration cost. Cross-validated applications of SPA to a range of large realistic data classification and prediction problems reveal marked cost and performance improvements. For example, SPA allows the data-driven next-day predictions of resimulated surface temperatures for Europe with the mean prediction error of 0.75°C on a common PC (being around 40% better in terms of errors and five to six orders of magnitude cheaper than with common computational instruments used by the weather services).

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