Motives for Decreasing the Curing Time of HTPB-AP Composite Propellants

One of the standard conditions for solidifying composite propellants consist of hydroxyl terminated poly-butadiene as a binder and ammonium perchlorate as oxidizer, is the curing process for certain time in a certain temperature. On this paper, the motives and reasons for the decreasing of this curing time were studied and discussed. The study and discussion include the productivity, cost, delivery, manpower, and maintenance points of view. By experiments and questionnaire work, it was seen that, all the previous points of view were affected positively. Generally, the productivity of the propellant was increased by 100%, the cost of curing process was decreased by 25% of the previous cost, the man power needed for the process of waiting and recording the readings was decreased by 50%, customer delivery process was fasted by 50% of the previous delivery time, and finally the maintenance processes due to equipment depreciation were improved by 50% from the previous. From the whole point of view, it was seen that, the decreasing of the curing time is very useful for the production of the propellant. Finally, it is observed that the decreasing of the curing time to the half time brought the same properties of the standard curing time, and then it is concluded that the deceasing of the curing time can be applied safely and usefully in the casting production line.

Application of neural network method in engineering prediction

Data mining is widely used in engineering. Neural network method is one of the methods of data mining. It has obvious advantages in engineering prediction and numerical estimation. Based on the analysis of neural network algorithm, this paper uses neural network algorithm to predict the moisture content of used sand in casting production, and obtains an effective method to judge the moisture content by voltage.

Multi-Objective Casting Production Scheduling Problem by a Neighborhood Structure Enhanced Discrete NSGA-II: An Application from Real-World Workshop

Casting production scheduling problem (CPSP) has attracted increasing research attention in recent years to facilitate the profits, efficiency, and environment issues of casting industry. Casting is often characterized by the properties of intensive energy consumption and complex process routes, which motivate the in-depth investigation on construction of practical multi-objective scheduling models and development of effective algorithms. In this paper, for the first time, the multi-objective casting production scheduling problem (MOCPSP) is constructed to simultaneously minimize objectives of defective rate, makespan, and total energy consumption. Moreover, a neighborhood structure enhanced discrete NSGA-II (N-NSGA-II) is designed to better cope with the proposed MOCPSP. In the N-NSGA-II, the advantage of selection mechanism of NSGA-II is fully utilized for selecting non-dominate solution, three neighborhood structures are elaborately designed to strengthen the ability of the local search, and a novel solution generating approach is proposed to increase the diversity of solutions for global search. Finally, a real-world case is illustrated to evaluate the performance of the N-NSGA-II. Computational results show that the proposed N-NSGA-II obtains a wider range of non-dominated solutions with better quality compared to other well-known multi-objective algorithms.

Influence investigation of technological conditions of 3D-printing on antiadhesion properties of master-model surfaces

It is shown that one of the promising methods to prepare a master-model for the casting production of engineering industry products is FDM 3D-printing. The influence of technological conditions of 3D-printing on antiadhesion properties of surfaces has been studied. By experiments it was found out that for 3D-printing of master-models it was necessary to have conditions in which the parameter of filling percent was more than 60%. Recommendations for the use of 3D-printing methods for production of casting molds are given.

Ladle Intelligent Re-scheduling Method in Steelmaking–Refining–Continuous Casting Production Process based on BP Neural Network Working Condition Estimation

The ladle re-scheduling of steelmaking and continuous casting production aims at continuously casting many charges with the same cast and avoiding conflicts of adjacent charges on the same machine. It proposes a method of ladle re-scheduling in the production process of steelmaking–refining–continuous casting, including two parts: plan re-scheduling and ladle optimisation scheduling. Firstly, a re-scheduling optimisation model of the steelmaking and continuous casting production is built, which aims at minimising the waiting time of all charges. The re-scheduling strategy of steelmaking and continuous casting production is proposed by interval processing time of charges and scheduling expert experience. The re-scheduling strategy is composed of two parts: re-scheduling charge decision and charge processing machine decision. Then, the first-order rule learning is used to select the optimisation target to establish the ladle optimal scheduling model. The ladle matching rules are extracted by the rule reasoning of the minimum general generalisation. The ladle optimisation scheduling method consisting of the optimal selection of the ladle and the preparation of the optimal path of the ladle is proposed. Ladle selection is based on the production process and adopts rule-based reasoning to select decarburised ladle after choosing dephosphorised ladle. Ladle path preparation, a multi-priority heuristic method, is designed to decide the path of the ladle from the converter to the refining furnace to the continuous casting machine. Finally, it was actually verified based on a large-scale steel company in Shanghai, China. Results showed that the production efficiency of steelmaking-refining-continuous casting was improved.

Bronze-casting workshops of the Vengerovo-2 settlement (Baraba forest steppe)

The formation of the early bronze-casting production in Baraba and the appearance of products of the Seima-Turbino type were completed within the 3rd — early 2nd mil. BC — during the existence of the Krotovo Cul-ture. Plenty of work has been devoted to its characterization; the presence of bronze-casting on the sites has been noted, but special studies of this type of sources are extremely few. The purpose of this paper is to present the characteristics of the production areas associated with the processing of non-ferrous metals, based on mate-rials of the Vengerovo-2 settlement of the Krotovo Culture. Production sites were studied in six dwellings of the settlement. The uniformity of the workshops has been revealed in terms of site planning and principles of organi-zation of the production, although differences in scale have been noted. The use of two types of the forges has been recorded. In all these workshops and in other sites of the culture, a multifunctional sub-rectangular hearth buried in the ground with the walls and floor lined with fragments of ceramics or clay coating was found (with di-mensions of 1.65×0.87–2.3×0.9×0.21–0.52 m). The second type of the forges is less common — a small round or oval pit (0.4–0.5 m in diameter) with the bottom and walls lined with baked clay or fragments. The smelting was carried out with forced air supply. The casting of the metal was taking place next to the forge. Crushed bones were used as fuel. The production complex demonstrates extensive external economic and commercial ties. This is manifested by penetration of significant volumes of non-ferrous metal into the ore-barren areas of the Central Baraba, as well as by the presence of imported foundry equipment (molds made of marl and talc). The simultaneous presence inside the casters’ dwellings of bones of taiga-zone animals and those living in the southern, steppe regions indicates significant length of the supply routes. The specific features and unification of the production of the manufacturing equipment, nature of the work carried out, volume of heats, and a large number of similar-type forms suggest specialization of the village in the bronze casting production.

Keep Dreaming Kiddo!

Keep Dreaming, Kiddo! is a documentary film about my experience as a Muslim actress who wears the hijab full time. I compare my journey to two other actresses: a white woman, Rachel Salsburg and a South Asian woman, Ameena Iqbal. I use this comparison as a case study to assess how our opportunities differ in the acting industry in Toronto in 2018. I also hold a roundtable discussion with two Muslim actresses, Maryan Haye and Asil Moussa, to talk about how our limitations due to our religion could get in the way of our performance art. As well, I speak to several experts including a producer, a filmmaker, a casting director, and an acting teacher to learn how to practically integrate Muslim actresses into film and TV as the issue not only stops at acting, but extends to education, writing, casting, production, and even government policies.