scholarly journals EXAMINATION OF COOLING SYSTEMS IN MACHINE TOOLS REGARDING SYSTEM STRUCTURE AND CONTROL STRATEGIES

2021 ◽  
Vol 2021 (3) ◽  
pp. 4563-4568
Author(s):  
C. Steiert ◽  
◽  
Ju. Weber ◽  
J. Weber ◽  
◽  
...  

Abstract When analyzing machine tools it is observable that despite sufficient cooling capacity thermo-elastic deformation of the machine structure is badly compensated due to heat input. The reason is the missing adaption of coolant and heat input into the system structure during the process, resulting in insufficient productivity and quality. In this paper, various system configurations are shown that can be used to achieve both adequate thermal performance and a reduction in energy consumption.

Author(s):  
Kai Wang ◽  
Xinping Yan ◽  
Yupeng Yuan

Nowadays, with the higher voice of ship energy saving and emission reduction, the research on energy efficiency management is particularly necessary. Energy efficiency management and control of ships is an effective way to improve the ship energy efficiency. In this paper, according to the new clean propulsion system configurations of 5000 tons of bulk carrier, the energy efficiency management control strategy of the clean propulsion system is designed based on the model of advanced brushless doubly-fed shaft generator, propulsion system using LNG/diesel dual fuel engine and energy consumption of the main engine for reducing energy consumption. The simulation model of the entire propulsion system and the designed control strategy were designed. The influence of the engine speed on the ship energy efficiency was analyzed, and the feasibility of the energy efficiency management control strategies was verified by simulation using Matlab/Simulink. The results show that the designed strategies can ensure the power requirement of the whole ship under different conditions and improve the ship energy efficiency and reduce CO2 emissions.


Author(s):  
Brian A. Weiss ◽  
Guixiu Qiao

Manufacturing work cell operations are typically complex, especially when considering machine tools or industrial robot systems. The execution of these manufacturing operations require the integration of layers of hardware and software. The integration of monitoring, diagnostic, and prognostic technologies (collectively known as prognostics and health management (PHM)) can aid manufacturers in maintaining the performance of machine tools and robot systems by providing intelligence to enhance maintenance and control strategies. PHM can improve asset availability, product quality, and overall productivity. It is unlikely that a manufacturer has the capability to implement PHM in every element of their system. This limitation makes it imperative that the manufacturer understand the complexity of their system. For example, a typical robot systems include a robot, end-effector(s), and any equipment, devices, or sensors required for the robot to perform its task. Each of these elements is bound, both physically and functionally, to one another and thereby holds a measure of influence. This paper focuses on research to decompose a work cell into a hierarchical structure to understand the physical and functional relationships among the system’s critical elements. These relationships will be leveraged to identify areas of risk, which would drive a manufacturer to implement PHM within specific areas.


Author(s):  
Liangyao Yu ◽  
Xiaohui Liu ◽  
Zejin Xie ◽  
Yi Chen

As an important component in brake systems, the Brake-by-Wire system has attracted great attention recently with the development of emerging energy vehicle and modern passenger cars. The main feature of the Brake-by-Wire system, in contrast to the conventional braking system, is the elimination of the dependence of the vacuum booster on engine vacuum through decoupling of the brake pedal and the brake actuator. The influences from road surface to the driver’s brake feeling can also be eliminated by employment of a brake pedal simulator. The Brake-by-Wire system can greatly improve the automotive safety performance of modern passenger cars, including response time, control capability and stability. As much as the system shows great promise, drawbacks should be addressed as well. For example, design theories on system structure, reliable control strategies, high energy consumption, the modeling of global Brake-by-Wire non-linear dynamic system, poor working conditions and high maintenance costs are major concerns. This paper aims to provide a timely and comprehensive review on the state-of-the-art Brake-by-Wire system used in modern passenger cars. Variety of major components are compared in order to get a more reliable and lower energy consumption system, which includes actuators, pedal simulators and backup brake systems. Researches on control strategies as well as future research direction of Brake-by-Wire system are also discussed.


2015 ◽  
Vol 105 (06) ◽  
pp. 440-444
Author(s):  
J. Schlechtendahl ◽  
S. Braun ◽  
P. Schraml ◽  
E. Abele ◽  
U. Heisel ◽  
...  

Der Einfluss moderner Werkzeugmaschinen auf die Umwelt basiert größtenteils auf deren Energieverbrauch im Produktivbetrieb. Um diesen Energieverbrauch zu senken, bietet sich der Einsatz von modellbasierten Strategien an. Für die Nutzung dieser Strategien in Werkzeugmaschinensteuerungen müssen modellbasierte Optimierer und Steuerungsinformationen zur intelligenten Energieverbrauchssteuerung verknüpft werden. In diesem Fachbeitrag wird ein Ansatz für eine intelligente Energieverbrauchssteuerung vorgestellt sowie anhand von Prozess- und Komponentenoptimierern validiert. Teil 1 des Fachbeitrags ist erschienen in der wt-Ausgabe 5-2015 auf den Seiten 324–328.   Modern machine tools mainly affect the environment by their energy consumption during operational life. Model-based strategies could be used for decreasing the energy consumption of machine tools. To enable the use of these strategies in machine controls, model-based optimizers and control information need to be connected to an intelligent energy controller. This paper introduces an approach to an intelligent energy controller for machine tools, validated by process and component optimizers.


2021 ◽  
Author(s):  
Felix Schaefer

One of the possible SOFC system-configurations providing the highest potential of electrical DC-efficiency of up to 65% is a SOFC-system with anode exhaust gas recirculation (AEGR), where part of the depleted anode exhaust gas is recirculated and mixed with fresh natural gas upstream of the reformer. For safe and durable operation of a SOFC-system, the oxygen-to-carbon-ratio and the fuel utilization as characteristic parameters must not exceed stack- and reformer-specific thresholds. The determination and control of the characteristic parameters are therefore of crucial importance. However, this poses especially for SOFC-systems with AEGR due to enhanced system complexity a challenging task. In this paper, the authors present an overview on representative control strategies as well as different approaches to determine or diagnose characteristic parameters with emphasis on SOFC-systems with AEGR. Some conclusions are discussed based on the provided overview and outlines recommendations for future research work.


2016 ◽  
Author(s):  
Tao Cao ◽  
Yunho Hwang ◽  
Reinhard Radermacher ◽  
Ho-Hwan Chun

A comprehensive optimization study considering both system configurations and control strategies is needed for micro-grid energy systems. In order to address this need, this study provides an advanced optimization framework that extends existing energy system optimization studies in following four aspects: complete system optimization from scratch; comprehensive energy conversion equipment modeling for heating, cooling and power generations; modeling of cascaded configurations such as a cascaded absorption-compression refrigeration system and a cascaded organic Rankine cycle-direct heating system; and consideration of transient loads and weather profiles. The optimization framework aims to find optimum system configurations and control strategies for any given equipment options, and load- and weather-profiles in order to minimize life cycle cost. First, correlation based equipment models and cascaded system models were developed. Then the optimization framework was established using a genetic algorithm solver built in Matlab. The framework was presented through a case study on an oceanic container transportation application under transient loads and weather profiles. It was found that the optimized system was able to reduce life cycle cost by 40%. The optimized system is in favor of cascaded organic Exploring waste heat from the main engine that is used for main propulsion is the key to reduce life cycle cost. The developed optimization framework can be used for any applications as an efficient tool to search for novel energy system designs and their evaluations.


2010 ◽  
Vol 07 (04) ◽  
pp. 587-607 ◽  
Author(s):  
JOSÉ L. LIMA ◽  
JOSÉ C. GONÇALVES ◽  
PAULO G. COSTA ◽  
A. PAULO MOREIRA

This article describes a joint trajectory optimized controller developed in a humanoid robot simulator following the real robot characteristics. As simulation is a powerful tool for speeding up the control software development, the proposed accurate simulator allows to fulfill this goal. The simulator, based on the Open Dynamics Engine and GLScene graphics library, provides instant visual feedback. The proposed simulator, with realistic dynamics, allows to design and test behaviors and control strategies without access to the real hardware in order to carry out research on robot control without damaging the real robot. The low-level joints controller techniques, such as acceleration, speed, and energy consumption minimization, are discussed and experimental results are presented in order to validate the proposed simulator.


2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Yan Zhang ◽  
Yongqiang Liu ◽  
Yang Liu

Currently in China, energy conservation and emission reduction are important initiatives for society. Because of its large proportion of building energy consumption, several methods for building energy conservation have been introduced for central air conditioning. This paper presents a hybrid system for a modelling and control approach. By analysing the cooling capacity transfer process and the electromagnetic properties of pumps, the modelling is performed in a hybrid system framework. Pumps are classified as fixed-frequency pumps, variable-frequency pumps, and switchable pumps; a switch control strategy is used in the chilled water system for supplying cooling capacity. In order to adjust indoor temperature and save electrical energy, the cooling capacity allocation and average temperature methods are presented, which satisfy the goal of optimal control of real-time energy consumption. As a numerical example, the temperature variation and cold regulation processes are simulated. Three rooms are the control objects that lower the setting points, and pumps waste as little electrical energy as possible. The results show 49.4% of water pump power consumption when compared with constant water volume technology. The modelling and control approach is more advantageous in ensuring the success of reconstruction projects for central air conditioning.


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