Business optimization through automated signaling design

M.Ing. (Engineering Management)Abstract: Railway signaling has become pivotal in the development of railway systems over the years. There is a global demand for upgrading signaling systems for improved efficiency. Upgrading signaling systems requires new signaling designs and modifications to adjacent signaling systems. The purpose of this research is to compare manually produced designs with design automation by covering the framework of multiple aspects of railway signaling designs in view of business optimization using computer drawings, programming software language and management of signaling designs. The research focuses on design automation from the preliminary design stage to the detailed design stage with the intention of investigating and resolving a common project challenge of time management. Various autonomous methods are used to seek improvement on the detailed design phase of re-signaling projects. An analysis on the project’s duration, resources and review cycles is conducted to demonstrate the challenges that are faced during the design of a project. Signaling designs are sophisticated and crucial in an ever-changing railway environment. As a result, there is a demand for efficiency and knowledge within railway signaling to achieve successful completion project target dates. A quantitative approach is used to identify the gaps leading to delays and best practices are applied using a comparative analysis to remediate on any snags that may potentially extend the project duration. The results illustrate that the resources required when automating detailed designs are reduced by two thirds for cable plans and book of circuits and reduced by one third for source documents. Successively, the projects benefit with reduced organizational resources, reduced design durations and reduced design review cycles. This research concludes that software integration of the signaling designs due to the efficiency and innovation of the selected computer drawing software and programming software language such as AutoCAD required less resources for computer drawings that are generated using automation tools compared to computer drawings that are generated manually. The resources required when automating the generation of signaling detailed designs are reduced for cable plans, book of circuits and source documents. This means that the business is optimized by utilizing less resources and subsequently delays are reduced during the design stage

Partial Discharge Mitigation in Power Modules using an Automation-Driven Design Rule Development Method

Power modules used for the conversion and conditioning of electrical power for applications like electric vehicles, more-electric aircraft, the power grid, etc., are largely designed manually by engineers. Design automation of power modules is starting to gain recognition as a timely and necessary alternative to intuitive manual design and fabrication. With increasing need for wide bandgap materials that can operate at higher voltages, and the need to make modules more compact, hazards like electrical breakdown are more likely. Partial discharge (PD) is a silent and invisible precursor to electrical breakdown. It is compounded with compaction, creating a potential for electrical breakdown and catastrophic failure of the module package. Instead of being the limiting factor, or even a hazard, power module packages need to keep pace with the advancements being made in wide bandgap technology. While the automation of power module design is still new, and research and standards on PD in power modules are limited, this dissertation is a significant step in designing for high voltage operation while assessing tradeoffs against module compaction in an electronic design automation tool. This dissertation describes a method of systematically accounting for partial discharge in power modules using a unique approach where improvements to a module layout are determined in terms of design rules. Trace gaps, in this method, are designed to be functions of operating voltage, substrate and encapsulant material choice, and layer thicknesses of the substrate. These design rules are based on simulations that are validated by physical PD experiments. Furthermore, filleting is performed on the final layouts to further reduce PD by reducing the E-field concentrations by a third. This methodology has been implemented in PowerSynth, an in-house hardware-validated electronic design automation tool that performs electro-thermal and mechanical layout optimization. Before the implementation of this work, layouts were agnostic to PD. From the contribution of this work, the layouts now generated by the tool are PD-mitigated, with a maximum operating voltage for each layer stack. Below the rated voltage, the user can choose multiple voltage-trace gap trade off options for the layout. Demonstrating this implementation in this work shows that the user can achieve either a 24% improvement in voltage level, or a 20% improvement in area reduction, or a trade-off combination of the two. As layouts increase in complexity, these improvements will likely grow. The implementation of this work allows room for growth by allowing customized PD data libraries from various manufacturing lines to inform design rules much like a process design kit in the field of integrated circuit design. The designer using PowerSynth can: 1.) Use default libraries for design rules, or 2.) Perform their own simulations to augment the existing PD data library according to the method presented here, or 3.) Fabricate their own test structures and design corresponding simulations to develop their own complete PD data library and import it to PowerSynth. The manufacturable modules resulting from this tool are thus designed to be practical and reliable for high voltage operation

Partial Discharge Mitigation in Power Modules using an Automation-Driven Design Rule Development Method

Power modules used for the conversion and conditioning of electrical power for applications like electric vehicles, more-electric aircraft, the power grid, etc., are largely designed manually by engineers. Design automation of power modules is starting to gain recognition as a timely and necessary alternative to intuitive manual design and fabrication. With increasing need for wide bandgap materials that can operate at higher voltages, and the need to make modules more compact, hazards like electrical breakdown are more likely. Partial discharge (PD) is a silent and invisible precursor to electrical breakdown. It is compounded with compaction, creating a potential for electrical breakdown and catastrophic failure of the module package. Instead of being the limiting factor, or even a hazard, power module packages need to keep pace with the advancements being made in wide bandgap technology. While the automation of power module design is still new, and research and standards on PD in power modules are limited, this dissertation is a significant step in designing for high voltage operation while assessing tradeoffs against module compaction in an electronic design automation tool. This dissertation describes a method of systematically accounting for partial discharge in power modules using a unique approach where improvements to a module layout are determined in terms of design rules. Trace gaps, in this method, are designed to be functions of operating voltage, substrate and encapsulant material choice, and layer thicknesses of the substrate. These design rules are based on simulations that are validated by physical PD experiments. Furthermore, filleting is performed on the final layouts to further reduce PD by reducing the E-field concentrations by a third. This methodology has been implemented in PowerSynth, an in-house hardware-validated electronic design automation tool that performs electro-thermal and mechanical layout optimization. Before the implementation of this work, layouts were agnostic to PD. From the contribution of this work, the layouts now generated by the tool are PD-mitigated, with a maximum operating voltage for each layer stack. Below the rated voltage, the user can choose multiple voltage-trace gap trade off options for the layout. Demonstrating this implementation in this work shows that the user can achieve either a 24% improvement in voltage level, or a 20% improvement in area reduction, or a trade-off combination of the two. As layouts increase in complexity, these improvements will likely grow. The implementation of this work allows room for growth by allowing customized PD data libraries from various manufacturing lines to inform design rules much like a process design kit in the field of integrated circuit design. The designer using PowerSynth can: 1.) Use default libraries for design rules, or 2.) Perform their own simulations to augment the existing PD data library according to the method presented here, or 3.) Fabricate their own test structures and design corresponding simulations to develop their own complete PD data library and import it to PowerSynth. The manufacturable modules resulting from this tool are thus designed to be practical and reliable for high voltage operation

A state communication and software switching module and thin middleware layer for reconfiguration management in reconfigurable manufacturing systems.

M. Sc. Eng. University of KwaZulu-Natal, Durban 2015.Reconfigurable Manufacturing Systems are a new area of operations and manufacturing research. The global need for production systems which can react rapidly to dynamic markets has increased in the last decade and will continue to drive changes in the manufacturing industry. The further development of RMS technologies is therefore highly important for future industries. The Reconfiguration Management and Middleware System (RMMS) developed in this research aimed to form a hardware-supported middleware technology which allows for the fast and seamless ramp-up of heterogeneous machine controllers on a newly reconfigured factory floor. The goal was to allow for the autonomous assignment and switching of software routines on machine controllers after a physical reconfiguration, thereby speeding up the ramp-up of the system. The technology was based on a recorded literature review and fits into the paradigm of RMS. The RMMS was developed not as a traditional software-heavy layer, but as a thin layer of software assisted by interactive mechatronic hardware, designed to remove heterogeneity in the control software. The system design was based on research into areas of engineering and operations management and followed the Mechatronic design approach. The literature led to a technology that takes the entire RMS paradigm into account and the development was conducted in conjunction with experiments to verify the individual functionality of each sub-system and ensure the overall system’s success. The RMMS uses hardware to handle heterogeneity and uses a positioning system (developed by the author) along with an intelligent processing system (a clustering algorithm and artificial intelligence engine) to construct data into a factory floor model. The positioning system, when assisted by the intelligence, operates at an accuracy of over 90%, which is comparable to commercial positioning techniques which cost over ten times more. The RMMS used the developed model to, autonomously and wirelessly, assign new programs to machine controllers after a physical reconfiguration, to complete a factory reconfiguration. The system was verified through practical scenarios constructed in the Mechatronics laboratory. Realistic reconfiguration operations were performed and the RMMS was required to detect changes in the factory floor and respond by assigning new, appropriate, software routines to each machine controller in the system. Experiments have proved that the system was capable of re-establishing operations in under half an hour, as opposed to a full day using manual techniques. The system has accurately switched between control routines based on the physical state of the factory floor, which amounts to control reconfiguration. The reconfiguration of factory floor control was successful in four out of four factory layouts tested and therefore successfully does a job no commercially available system can do

An approach to the visualization of adaptive hypermedia structures and other small-world networks based on hierarchically Clustered Graphs

Tesis doctoral inédita. Universidad Autónoma de Madrid, Escuela Politécnica Superior, julio de 200

Investigating the potential for a user-driven electricity monitoring application to provide useful electricity consumption patterns

Conventional electricity usage monitoring involves complex data collection via costly and intrusive hardware installation. There is a perceived need for a simple and affordable tool that provides users with feedback about their electricity consumption without the hardware installation. This study involves the design and development of a user driven mobile and desktop application that provides users with information on electricity usage patterns and historical trends. The application was designed using Ionic Framework, a tool ideal for the design of hybrid applications that are compatible with both desktop Windows devices and mobile Android devices. The goal of the research will be that the user will track their appliance usage on the application whilst taking electricity meter readings at regular intervals to calculate appliance-specific consumption. The data is added to the mobile or desktop application, which then provides users with a comprehensive display of the electricity usage patterns and trends. The objective is to provide users with the information required so that they can start understanding their electricity consumption better and it is a first step towards empowering the user to make smart decisions at home that will reduce their electricity consumption. The USE (Usefulness, Satisfaction, Ease of Use and Ease of Learning) questionnaire was used to gather user experience feedback from participants about user experience. The USE questionnaire tests the perceived Usefulness, Satisfaction, Ease of Use and Ease of Learnability The 31 individuals who initially volunteered to take part in the study are all residents of the City of Cape Town Municipality, aged between 20 and 80 years old. Not all participants are home owners; some are tenants in their premises. The sample group was selected on a convenience basis, and social media group posts were also used to reach individuals with a potential interest in the study. The two motivating factors that were considered to identify individuals who could potentially have an interest in the study were cost saving and environmental impact. 21 volunteers completed the study and returned the USE questionnaire. The study findings showed that all participants believe that using the application helped them to better understand their electricity consumption

A Bridge Between Copyright and Patent Law: Towards a Modern-Day Reapplication of the Semiconductor Chip Protection Act

This Paper analyzes the history of the Semiconductor Chip Protection Act (SCPA), 17 U.S.C. §§ 901–914, and asks why the statute is so seldom used in intellectual property litigation. Afterwards, this Paper makes the argument that the SCPA should be used more in intellectual property litigation, perhaps in tandem with patent litigation, and can be a viable form of protection for semiconductor micro-fabrication companies or integrated circuit design companies engaged in pioneering innovations within the cutting-edge field of semiconductor technology

Optimisation of Rail-road Level Crossing Closing Time in a Heterogenous Railway Traffic: Towards Safety Improvement - South African Case Study

The gravitation towards mobility-as-a service in railway transportation system can be achieved at low cost and effort using shared railway network. However, the problem with shared networks is the presence of the level crossings where railway and road traffic intersects. Thus, long waiting time is expected at the level crossings due to the increase in traffic volume and heterogeneity. Furthermore, safety and capacity can be severely compromised by long level crossing closing time. The emphasis of this study is to optimise the rail-road level crossing closing time in order to achieve improved safety and capacity in a heterogeneous railway network. It is imperative to note that rail-road level crossing system assumes the socio-technical and safety critical duality which often impedes improvement efforts. Therefore, thorough understanding of the factors with highest influence on the level crossing closing time is required. Henceforth, data analysis has been conducted on eight active rail-road level crossings found on the southern corridor of the Western Cape metro rail. The spatial, temporal and behavioural analysis was conducted to extract features with influence on the level crossing closing time. Convex optimisation with the objective to minimise the level crossing closing time is formulated taking into account identified features. Moreover, the objective function is constrained by the train's traction characteristics along the constituent segments of the rail-road level crossing, speed restriction and headway time. The results show that developed solution guarantees at most 53.2% and 62.46% reduction in the level crossing closing time for the zero and nonzero dwell time, respectively. Moreover, the correctness of the presented solution has been validated based on the time lost at the level crossing and railway traffic capacity consumption. Thus, presented solution has been proven to achieve at most 50% recovery of the time lost per train trip and at least 15% improvement in capacity under normal conditions. Additionally, 27% capacity improvement is achievable at peak times and can increase depending on the severity of the headway constraints. However, convex optimisation of the level crossing closing time still fall short in level crossing with nonzero dwell time due to the approximation of dwell time based on the anticipated rather than actual value