A Non-dominated Genetic Algorithm Based on Decoding Rule of Heat Treatment Equipment Volume and Job Delivery Date

This paper investigated the flexible job-shop scheduling problem with the heat treatment process. To solve this problem, we built an unified mathematical model of the heat treatment process and machining process. Up to now, this problem has not been investigated much. Based on the features of this problem, we are intended to minimize Cmax, maximize the space utilization rate of heat treatment equipment, and minimize the total delay penalty to optimize the scheduling. By taking the dynamic process arrival under consideration, this paper proposed a set of decoding rules based on the heat treatment equipment volume and job delivery date to achieve a hybrid dynamic scheduling solution during one scheduling procedure. When the utilization rate of heat treatment equipment volume is maximized, and the job delivery date is taken under consideration, it is preferred to minimize the number of workpiece batches in the same job, and reduce the waiting time of the pending job. In combination with the improved adaptive non-dominated genetic algorithm, we worked out the solution. Furthermore, we verified the effectiveness of the proposed decoding rules and improved algorithm through algorithm comparison and calculation results. Finally, a software system for algorithm verification and algorithm comparison was developed to verify the validity of our proposed algorithm.

Analysis and Predicting the Energy Consumption of Low-Pressure Carburising Processes

The monitoring of the performance of heat treatment equipment has been the subject of a number of studies. This paper proposes and explores a new study on the models—and the monitoring thereof—for predicting the energy intensity of low-pressure carburisation processes using the DeepCaseMaster Evolution soaking furnace. For research purposes, 18 carburising experiments were performed with different carbon layers, at different input parameters, such as the number of cycles, time, temperature and average carburising pressure. Based on the research experiments conducted and statistical analysis, the influence of individual parameters on the energy consumption of the pump and heating systems was determined. Moreover, the models were verified on real data of low-pressure carburising processes. The innovativeness of the proposed solution is a combination of two areas: (1) defining and measurement of the parameters of the low-pressure carburising process; and (2) predicting the energy consumption of low-pressure carburising processes using correlation and regression analyses. The possibilities of using the results of this research in practice are demonstrated convincingly.

Addictive and Substractive Combined Production of Cobalt-Crome-Based Frames in Dentistry

The following study analyses the use of modern 3D printing technology in dentistry with its necessary manufacturing and machining processes. Fitting of the manufactured metal structures is examined depending on their use, in terms of conventional adhesion-based denture designs and screw-fixed dentures on implants. Influencing factors and effects of the required post-processing steps are examined. Aspects such as sand-blasting, heat treatment, equipment and tools required for cutting are analyzed. The aim of this study is to create a manufacturing process that enables the required precision fitting of the created frame structure types.

Kinetics of Grain Growth in 718 Ni-Base Superalloy

The Haynes® 718 Ni-base superalloy has been investigated by use of modern material characterization, metallographic and heat treatment equipment. Grain growth annealing experiments at temperatures in the range of 1050 – 1200 oC (1323–1473K) for time durations in the range of 20 min-22h have been conducted. The kinetic equations and an Arrhenius-type equation have been applied to compute the grain-growth exponent n and the activation energy for grain growth, Qg, for the investigated alloy. The grain growth exponent, n, was computed to be in the range of 0.066-0.206; and the n values have been critically discussed in relation to the literature. The activation energy for grain growth, Qg, for the investigated alloy has been computed to be around 440 kJ/mol; and the Qg data for the investigated alloy has been compared with other metals and alloys and ceramics; and critically analyzed in relation to our results.

Centralized Monitoring Method for Isomeric Heat Treatment Equipments

Heat treatment equipment are usually harmful to people, they need to be monitored remotely. As the fact that different types of equipment are used in factories, which leads to the problem that monitoring equipment is difficult. Therefore, research on remote centralized temperature monitoring system is necessary. The concept of isomeric equipment is proposed. The framework of monitoring system is established, which is constituted of temperature control instruments, monitoring server and clients. The functions of monitoring system are described, such as setting temperature, receiving temperature, showing the chart of temperature, accumulating and reusing heat treatment experience etc. The key technologies of monitoring system including dynamic protocol adapter and knowledge accumulation and reuse are also explained. Finally, the system is applied in a factory. The engineer can monitor almost all of the heat treatment equipment only by use the system in the office.

Centralized Monitoring Method for Isomeric Heat Treatment Equipments

Heat treatment equipment are usually harmful to people, they need to be monitored remotely. As the fact that different types of equipment are used in factories, which leads to the problem that monitoring equipment is difficult. Therefore, research on remote centralized temperature monitoring system is necessary. The concept of isomeric equipment is proposed. The framework of monitoring system is established, which is constituted of temperature control instruments, monitoring server and clients. The functions of monitoring system are described, such as setting temperature, receiving temperature, showing the chart of temperature, accumulating and reusing heat treatment experience etc. The key technologies of monitoring system including dynamic protocol adapter and knowledge accumulation and reuse are also explained. Finally, the system is applied in a factory. The engineer can monitor almost all of the heat treatment equipment only by use the system in the office.

Improved Design of Universal Multi-Function Focusing Mirrors for Laser Heat Treatment

The laser heat treatment is a processing method of heat treatment on the surface of the metal part with a higher power density laser beam, mainly including laser surface hardening , laser annealing , laser surface alloying(lsa) and laser surface coating, it is width applied to machinery manufacturing, equipment maintenance, mold manufacturing, etc. It has gradually been recognized and adopted because of its unique characteristics.In this paper, focusing mirrors for improved key-parts of the laser heat treatment equipment have been analyzed and introduced, and pointed out the problems which should be noticed in the improvement.

Adatgyűjtés, adatelemzés hőkezelési folyamat modellezéséhez

We have been looking for the possibility to build a computer model of costly gas utilization in the course of heat treatment of canned meat. This was necessary for us, as the first part of our long-term research, to be able to accomplish minimized costs by synchro-nizing heat treatment processes running side by side and by production programming to define completion time of the cans. First, because of our multiple data (paper based, text file, image file, Excel file), we have arranged them under a common user interface, while defining the best one from the data with different precision appearing in several sources. Based on the accurate data we did correlation and regression analysis to define the data influencing the gas consumption and to see whether our present data was enough to develop a model. Since the furnace has to ensure the steam supply of the heat treatment equipment and the heating of the buildings too, we defined the gas consumption of the furnace which is dependent on the environmental temperature.

Hőkezelési folyamat modellezési adatainak előkészítése, elemzése húskonzerv-gyártás gázfogyasztásának optimálásához

We have been looking for the possibility to build a computer model of costly gas utilization in the course of heat treatment of canned meat. This was necessary for us, as the first part of our long-term research, to be able to accomplish minimized costs by synchronizing heat treatment processes running side by side and by production programming to define completion time of the cans. First, because of our multiple data (paper based, text file, image file, Excel file), we have arranged them under a common user interface, while defining the best one from the data with different precision appearing in several sources. Based on the accurate data we did correlation and regression analysis to define the data influencing the gas consumption and to see whether our present data was enough to develop a model. Since the furnace has to ensure the steam supply of the heat treatment equipment and the heating of the buildings too, we defined the gas consumption of the furnace which is dependent on the environmental temperature.