The performance of offshore process equipment on floating production platforms may be reduced through imposed sea motion. Fluid sloshing inside primary separators and non-segregated storage tanks may lead to oil/water mixing. The aim of previous work into sloshing has been to prevent damage to LNG tankers and increase the stability of space rockets. Work into oil/water sloshing appears limited. A computer controlled motion simulator was developed to conduct experiments with two rectangular vessels filled with air, refined oil and water. Two single sinusoidal forcing motions were applied, pitch and surge at various amplitudes and periods. Additional experiments were conducted with combined forcing motions pitch/roll and pitch/surge. Air/water interface profiles were measured and analysed using a computer based data logging and processing system. Air/oil and oil/water profiles were recorded using high speed video equipment. Also studied were the effect of baffles in reducing interface amplitude and the effect of forcing on oil/water transfer. A linear theory was derived to predict natural frequencies of three fluid systems and a numerical model was developed to predict near resonant behaviour. Air/water experiments and numerical model showed a coupling of natural and forcing frequencies in the free surface frequency spectrum. Favourable comparisons were also seen between the numerical model and oil/water experiments. Additional experiments indicated that oil/water mixing is promoted by resonant forcing in an unbaffled vessel. The presence of baffles reduces interfacial breakup and hence reduces oil content of water.

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Product Platform Planning is an emerging philosophy that calls for the planned development of families of related products. It is markedly different from the traditional product development process and relatively new in engineering design. Product families and platforms can offer a multitude of benefits when applied successfully such as economies of scale from producing larger volumes of the same modules, lower design costs from not having to redesign similar subsystems, and many other advantages arising from the sharing of modules. While advances in this are promising, there still remain significant challenges in designing product families and platforms. This is particularly true for defining the platform components, platform architecture, and significantly different platform and product variants in a systematic manner. Lack of precise definition for platform design assets in terms of relevant customer requirements, distinct differentiations, engineering functions, components, component interfaces, and relations among all, causes a major obstacle for companies to take full advantage of the potential benefits of product platform strategy. The main purpose of this research is to address the above mentioned challenges during the design and development of modular platform-based product families. It focuses on providing answers to a fundamental question, namely, how can a decision support approach from product module definition to the determination of platform alternatives and product variants be integrated into product family design? The method presented in this work emphasizes the incorporation of critical design requirements and specifications for the design of distinctive product modules to create platform concepts and product variants using a data clustering approach. A case application developed in collaboration with a tire manufacturer is used to verify that this research approach is suitable for reducing the complexity of design results by determining design commonalities across multiple design characteristics. The method was found helpful for determining and integrating critical design information (i.e., component dimensions, material properties, modularization driving factors, and functional relations) systematically into the design of product families and platforms. It supported decision-makers in defining distinctive product modules within the families and in determining multiple platform concepts and derivative product variants. / Ph. D.

Military acquisition programs have long been criticized for the exponential growth in program costs required to generate modest improvements in capability. One of the most promising reform efforts to address this trend is the open system architecture initiative, which uses modular design principles and commercial interface standards as a means to reduce the cost and complexity of upgrading systems over time. While conceptually simple, this effort has proven to be exceptionally difficult to implement in practice. This difficulty stems, in large part, from the fact that open systems trade additional cost and risk in the early phases of development for the option to infuse technology at a later date, but the benefits provided by this option are inherently uncertain. Practical implementation therefore requires a decision support framework to determine when these uncertain, future benefits are worth the cost and risk assumed in the present. The objective of this research is to address this gap by developing a method to measure the expected costs, benefits and risks associated with open systems. This work is predicated on three assumptions: (1) the purpose of future technology infusions is to keep pace with the uncertain evolution of operational requirements, (2) successful designs must justify how future upgrades will be used to satisfy these requirements, and (3) program managers retain the flexibility to adapt prior decisions as new information is made available over time. The analytical method developed in this work is then applied to an example scenario for an aerial Intelligence, Surveillance, and Reconnaissance platform with the potential to upgrade its sensor suite in future increments. Final results demonstrate that the relative advantages and drawbacks between open and integrated system architectures can be presented in the context of a cost-effectiveness framework that is currently used by acquisition professionals to manage complex design decisions.

Self-driving cars used to be a concept of a future society. However, through years of research, testing, and dedication they are becoming a modern day reality. To further expand research and testing capabilities in the field of autonomous vehicles, an Autonomous Vehicle Research Platform (AVRP) can be developed. The purpose of an AVRP is to provide researchers with an autonomous ground vehicle testing platform they can outfit with sensors and equipment to meet their specific research needs. The platform will give researchers the capabilities to test algorithms, new sensors, navigation, new technologies, etc. that they believe would help advance autonomous vehicles. When their testing is done, their equipment can be removed so the next researcher can utilize the platform. The scope of this thesis is to develop the operational specifications for an AVRP that can operate at level 4 autonomy. These specifications include navigation and sensing hardware, such as LIDAR, radar, ultrasonic, cameras, and important specifications that pertain to using each, as well as a review of optimal mounting locations. It will also present benchmarks for computing, design specs for power and communication buses, and modifications for universal mounting racks. / Master of Science

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This research investigates the potential of digital platforms to broaden the scope of action and empower permaculture communities in their attempt to challenge the capitalist mode of production regarding topics such as food harvesting and consumption patterns. It draws on Manzini’s (2018) critique of neoliberalism and his discussion on designing for social innovation, which suggests focusing on and enhancing existing members' capabilities rather than their needs; fostering cross-collaboration within and among communities; and allowing these collaborations to mature over time. It combines design thinking and co-design to develop further a previously existing proof of concept of a mapping platform that connects permaculture initiatives in Brazil. When it was created in 2018, this platform was tested by potential users who underscored severe usability limitations, and as a result, it was never fully implemented. This thesis discusses such limitations and proposes an improved platform to empower those communities by fostering collaboration beyond individuals and local groups towards regional communities.

This study investigates how the data about environmental conditions can be used in order toprovide individuals with the tool to claim against industrial companies causing the pollutionand affecting people’s life. Based on extensive research in relation to the political, social,technological and ethical context of the use case, the design solution introduces an open dataplatform where individuals and NGOs can collect, store, analyse and reuse collected data. Proposed design outcome is creating a bridge between users outside of technological scopeand the emerging field of IoT devices in order to make the data collection affordable andaccessible. It introduces a workflow for implementing the off-shelf technology into the digitalinfrastructure together with supportive functionalities to use collected information forcontext-specific purposes. The concept was developed with strong emphasis on implementingdemocratic values into the design solution, such as protection of personal data, distributedgovernance and transparency.

This dissertation investigates causal factors that lead to implementing a top-down approach to platform product design as well as performance outcomes from such a design. A top-down approach to platform product design requires intentional planning of a new platform-based product design during the new product development process, incorporating a level of modularity into the new design, and planning derivative products based on common subsystems and interfaces. A thorough review of literature was used to build a theory of platform product design founded on risks and benefits. Benefits are that platform design can drive revenue, introduce cost and time efficiencies, lead to more reliable products and offer managerial benefits in the form of adjacencies. Risks include increased costs and time to market for the first product, reduced revenue due to commonality, sub-optimal product design, and increased management complexity during the NPD process. A conceptual model was then developed encompassing antecedents, contributing factors, and market performance measures to implementing a top-down approach to new platform product design. The model was empirically tested in the context of U.S. manufacturing firms using data collected from 249 manufacturing product design managers. Respondents included managers from B2B firms and B2C firms as well as small and large firms. In order to test the model, a new continuous multidimensional measurement scale of top-down platform product design was developed. Results showed that market turbulence, technological turbulence, a product that is new to the market and competitive strategies of differentiation and design for supportability are positively related to platform design. Firm type - B2B versus B2C - and firm size - large firms versus small firms - was found to moderate this relationship. Regarding firm type, products that are new to the market are positively related to platform design for B2C firms, not B2B firms, while a competitive strategy of design for supportability is positively related to platform design for B2B firms, not B2C firms. Regarding firm size, a competitive strategy of design for supportability is positively related to platform design for large firms, not small firms. These findings suggest that an important predictor of top-down platform design is risk or uncertainty. Results also showed that top-down platform product design is positively related to both short term and long term market performance although this relationship is significantly greater for long term market performance. In the short-term, performance as measured by sales and market share was greater than performance as measured by profits. In the long-term, performance measured by sales and profits was greater than performance measured by market share. Organizational support in the form of management buy-in and cross-functional integration partially mediates the relationship between platform design and long term market performance. Finally, strategic flexibility was found to have an inverse relationship with top-down platform down. Firms lacking strategic flexibility were more likely to pursue a top-down platform design. This is in line with findings that suggest top-down platform design is undertaken when uncertainty is high and strategic flexibility is an advantage These findings contradict conventional wisdom in new product development literature and offer a better understanding of why platform design is important in a way that has not been previously defined. / Business Administration/Marketing

This paper introduces the topic of Cohousing as a solution to the chronic housing crisis and examines how it can be supported by digital platforms, and what form they should take. The theoretical concept of platforms and infrastructure is examined in general and specifically for communities along with other co-operative practices. The methodology of Research through Design (RtD) paired with recognised design methods of interviews, surveys and participatory design including workshops and co-design, employing a design process blending ideation and prototyping with each of these methods. The resulting design is a platform serving the dual functionality of marketing the Cohousing practice to wider society coupled with aggregating the infrastructural and communication needs of a cohousing group. The design works to support a highly interpersonal community-based activity through the face-to-face interaction of groups and demonstrates how the studies of platforms and infrastructure combined with research through design can support such practices.