| 1. |
- Asbjörnsson, Gauti, 1985, et al.
(författare)
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Improving Students Engagement with Active Learning in Engineering Optimization Lectures
- 2021
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Ingår i: Proceedings of the International CDIO Conference. - 2002-1593. - 9786164076167 ; 1:1, s. 535-545
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Konferensbidrag (refereegranskat)abstract
- In optimisation, as for learning, the synthesises of previous knowledge and current information is essential to achieve defined objectives. The students' objectives are to fulfil the course's intended learning outcomes and possibly, at the same time, develop their knowledge, skills, and attitudes within the subject. The purpose of this work is to incorporate a more collaborative learning environment with active learning activities in the classroom to improve student learning opportunities, their perception of the course and their interest in the subject of optimisation. Within the CDIO initiative, active learning or experiential learning is stated as a key factor in engaging students directly in thinking and problem-solving activities. This can apply to different teaching activities such as assignments, lectures, and assessments. With active learning, the purpose is to involve students more actively in the learning process instead of relying on passive information transfer. Active learning methods aim to facilitate the students' process of creating their understanding of the topic by reflecting, questioning, conjecturing, evaluating and make connections between ideas whilst drawing on ideas, experiences and knowledge of others. In this work, diverse activities for incorporating more interactive learning in the classroom have been implemented in different course lectures, activities such as think pair-share, mind maps, multiple-choice questions, incomplete hands and more. An evaluation of the students' perception of the course and the various activities was carried out at the end of the course. The most considerable improvement was with the overall impression of teaching. That improved between the years from 3.10 to 3.57. The most appreciated activity was the think-pair-share approach, which gave the students a cognitive break from the lecture slides to discuss the topic. However, the response rate was limited but did indicate the students' perspective and what was appreciated. The results will provide a good base for future development.
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| 2. |
- Bhadani, Kanishk, 1991, et al.
(författare)
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Application of Optimization Method for Calibration and Maintenance of Power-Based Belt Scale
- 2021
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Ingår i: Minerals. - : MDPI AG. - 2075-163X. ; 11:4
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Tidskriftsartikel (refereegranskat)abstract
- Process optimization and improvement strategies applied in a crushing plant are coupled with the measurement of such improvements, and one of the indicators for improvements is the mass flow at different parts of the circuit. The estimation of the mass flow using conveyor belt power consumption allows for a cost-effective solution. The principle behind the estimation is that the power draw from a conveyor belt is dependent on the load on the conveyor, conveyor speed, geometrical design, and overall efficiency of the conveyor. Calibration of the power-based belt scale is carried out periodically to ensure the accuracy of the measurement. In practical implementation, certain conveyors are not directly accessible for calibration to the physical measurement as these conveyors have limited access or it is too costly to interrupt the ongoing production process. For addressing this limitation, a better strategy is needed to calibrate the efficiency of the power-based belt scale and maintain the reliability of such a system. This paper presents the application of an optimization method for a data collection system to calibrate and maintain accurate mass flow estimation. This includes calibration of variables such as the efficiency of the power-based belt scale. The optimization method uses an error minimization optimization formulation together with the mass balancing of the crushing plant to determine the efficiency of accessible and non-accessible conveyors. Furthermore, a correlation matrix is developed to monitor and detect deviations in the estimation for the mass flow. The methods are applied and discussed for operational data from a full-scale crushing plant.
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| 3. |
- Bhadani, Kanishk, 1991, et al.
(författare)
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Applied Calibration and Validation Method of Dynamic Process Simulation for Crushing Plants
- 2021
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Ingår i: Minerals. - : MDPI AG. - 2075-163X. ; 11:9
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Tidskriftsartikel (refereegranskat)abstract
- There is a need within the production industry for digitalization and the development of meaningful functionality for production operation. One such industry is aggregate production, characterized by continuous production operation, where the digital transformation can bring operational adaptability to customer demand. Dynamic process simulations have the ability to capture the change in production performance of aggregate production over time. However, there is a need to develop cost-efficient methodologies to integrate calibrations and validation of models. This paper presents a method of integrating an experimental and data-driven approach for calibration and validation for crushing plant equipment and a process model. The method uses an error minimization optimization formulation to calibrate the equipment models, followed by the validation of the process model. The paper discusses various details such as experimental calibration procedure, applied error functions, optimization problem formulation, and the future development needed to completely realize the procedure for industrial use. The validated simulation model can be used for performing process planning and process optimization activities for the crushing plant's operation.
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| 4. |
- Bhadani, Kanishk, 1991, et al.
(författare)
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Experimental and simulation-driven improvements for coarse comminution circuit using Plantsmith process simulator - A case study of Geita Gold Mine, Tanzania
- 2021
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- Continuous improvements are a key aspect of driving an industrial process plant at a profitable state. The performance of the crushing plant is driven by each equipment’s (crusher, screen conveyors, bin, etc.) operation, raw material properties, operational strategies, control system, maintenance, and so on. To bring improvements for full-scale industrial units, a thorough investigation is needed. In the considered case study, a need was posed by the industry operating coarse and fine comminution circuit to investigate the opportunities for upscaling and downscaling of the plant capacity along with evaluating the performance of the existing circuit. The need is driven by the change in ore characteristics from the mining segment. As the decision’s in the industry is driven by the cost, it is important to find opportunities which will increase the profitability and produces a viable solution(s). The paper presents a methodological approach for evaluating the performance of the crushing plant by carrying out: • Physical investigation and observation • Experimental survey and laboratory data analysis • Evaluating historical production data • Simulation configuration and calibration in Plantsmith process simulator • Evaluating alternative concepts using Plantsmith process simulator The evaluation presents possible improvements in the existing plants, and alternative concepts with their opportunities and pitfalls. The results show that a methodological approach can bring a wide understanding of the plant operations and simulation tool is useful for evaluating operational scenarios. Also, multiple practical aspects are presented concerning the investigation process.
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| 5. |
- Bhadani, Kanishk, 1991, et al.
(författare)
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Simulation-Driven Development for Coarse Comminution Process - A Case Study of Geita Gold Mine, Tanzania using Plantsmith Process Simulator
- 2021
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Ingår i: Proceedings of the Design Society. - : Cambridge University Press (CUP). - 2732-527X. ; 1, s. 2681-2690
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Konferensbidrag (refereegranskat)abstract
- A comminution process is a material size reduction and separation process which is primarily used in the aggregates and the minerals processing industry. Knowledge related to equipment’s operation, raw material properties, operational strategies, control system, maintenance, etc. is needed to design a capable plant. New needs are arising from the industry for existing operational crushing plants such as investigation for improvements, upscaling, and downscaling of the capacity. The paper presents an application of simulation-driven development for a crushing plant in an existing gold processing plant. Due to the change in ore characteristics and the need for optimizing the cost of operation, it is required to investigate the opportunities for improvement and alternative options for downscaling the capacity of the plant. A systematic process for configuring, developing, and evaluating alternative concepts using a process simulation tool is presented. The results show the process of generating knowledge for alternative crushing plant operation settings and how the choices can be selected and eliminated using boundary conditions. The evaluation presents possible improvements and alternative concepts with their opportunities and pitfalls.
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| 6. |
- Nerenst, Tim Brix, et al.
(författare)
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Probabilistic Performance Evaluation and Optimization of Medical Plastic Moulded Components Subject to Large Scale Production
- 2021
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Ingår i: ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE). - 9780791885567
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Konferensbidrag (refereegranskat)abstract
- A new medical device can take years to develop from early concept to product launch. The long development process can be attributed to the severe consequences for the patient if the device malfunctions. Three approaches are often combined to mitigate risks: rigorous simulation and modeling, physical test programs, and Failure Mode Effect Analysis (FMEA) - all of which are time-consuming. Physical test programs are often carried out on prototype components from the same batch and, therefore, limited in revealing the actual distribution of performance. The risk probabilities are subsequently based on educated guesses. Furthermore, simulation and modeling are usually performed on nominal geometry - not accounting for variation - and only provide a safety factor against failure. The traditional use of safety factors in structural analysis versus the probabilistic approach to risk management presents an obvious misfit. Therefore, these three approaches are not ideal for addressing the two key questions that the design engineer has: 1) How often will the design fail, and 2) How should the design be changed to improve robustness and failure rates. The present work builds upon the existing Robust and Reliability-Based Design Optimization (R2BDO) and adjusts it to address the key questions above using finite element analysis. The key feature of the new framework is the focus on minimal use of computational resources while being able to screen feasible design concepts early in the embodiment phase and subsequently optimize their probabilistic performance. A case study in collaboration with a medical design and manufacturing company demonstrates the new framework. The case study includes FEA contact modeling between two plastic molded components with twelve geometrical variables. The optimization focuses on minimizing the failure rate (and improving design robustness) concerning three constraint functions (contact pressure, strain, torque). The study finds that the new framework achieves significant improvements to the component’s performance function (failure rate) with minimal computational resources.
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