A spacecraft is subjected to dynamic and static loads during launch. These loads are deterministic and of random nature and cannot be tested under the real conditions due to cost considerations. The spacecraft must therefore sustain certain mechanical loads without permanent deformation with a certain safety factor due to the uncertainties in the actual loading values during launch. The applicable mechanical test requirements and load combination have been first determined for the structure of interest: the SEAM CubeSat. These requirements are found to be steady-state accelerations, random vibration and shock response spectrum loadings. They have been simulated onto the structure globally and locally in order to extract stress values, amend design features when necessary and determine adequate material properties in order for the final design to fulfill the mechanical requirements during launch. / En satellit utsätts för dynamiska och statiska belastningar under uppskjutningen. Dessa laster är av deterministisk och av slumpmässig natur och kan inte testas under verkliga förhållanden på grund av kostnadsskäl. Satellitens konstruktion måste därför klara att utsättas för utan permanent deformation med en viss säkerhetsfaktor på grund av osäkerheter i de faktiska belastningarna under uppskjutningen. Mekaniska provningskrav och lastkombinationer har bestämts för en utvald struktur: SEAM CubeSat. Dessa krav visar sig vara accelerationer, slumpmässiga vibrationer och stötar. Strukturen har simulerats globalt och lokalt för att få fram de mekaniska belastningarna. Baserat på resultat från simuleringarna har konstruktionen modifierats och lämpliga material egenskaper har bestämts för att den slutliga konstruktionen ska uppfylla de mekaniska kraven under uppskjutningen.

No description available.

In today’s fast-changing markets, many international firms invest a significant amount of money in terms of marketing and technology to launch their products globally. To reduce such costs, a better understanding of the factors that affect the performance of global products launch is needed. However, little is known about how institutional factors of the type social, legal and political could influence the performance of global products launch. Accordingly, this thesis aims to investigate whether the simultaneous action of institutional factors of the type social, legal and political influence the performance of a new global product launch. Considering a single case study of Tesla’s products in 21 European countries between 2014 and 2019, a quantitative approach was followed using panel regression analysis. The sales of Tesla’s were used as dependent variable to represent the market performance of Tesla. For independent variables, data was collected for institutional factors including social indicators based on Hofstede framework (i.e., Uncertainty avoidance, Power distance, Individualism), political (i.e., Government Effectiveness, Voice and Accountability) and legal indicators (i.e., Rule of Law, Strength of legal rights) based on the World Bank indices. Seven hypotheses were formulated and tested. The results indicated that the market performance of Tesla’s products is positively associated with political factors in terms of voice and accountability. Moreover, the establishment of supercharger network from Tesla was found to have a significant positive impact on its products’ sales. Due to multicollinearity, some of the independent variables were removed and hence their respective hypotheses were not tested. For future research, it is recommended to use more data which incorporate a wide variety of countries including non-European countries as well as other companies offering electric cars.

As developed markets become more saturated, managers increasingly recognize the value of emerging markets as venues for growth opportunities. Yet, launching products into these markets is extremely risky due to weak institutional environments (e.g., lack of physical infrastructure), making success more uncertain. To alleviate this challenge, theory points to using emerging market footholds that yield market-specific knowledge. However, it is unclear whether knowledge is realized and, if so, what facets of harvested knowledge are effective in driving performance. Accordingly, we used data collected from a survey of business professionals to examine emerging market footholds and market-specific knowledge (i.e., customer, competitor, and logistics knowledge). Our results show that the extent of market presence held by an emerging market foothold is positively associated with all types of knowledge, yet only competitor and logistics knowledge—not customer knowledge—is positively associated with product launch performance. A supplemental sample of new product launches in developed markets revealed the opposite results wherein customer knowledge was the only significant predictor. Viewed collectively, the results suggest a market maturity threshold wherein logistics and competitive knowledge becomes less influential in driving performance, and customer knowledge becomes more influential.

CubeSat designers are increasingly looking to incorporate delicate structures and optics into their payloads. These delicate payloads, however, may not survive the required absolute-worst-case launch vibration testing needed for flight certification. To help address this problem, and to better match testing conditions to real-world launch environments, this thesis introduces Sync, a compact 1/4U CubeSat payload designed to collect data on the vibrations and thermal environments CubeSats experience inside a deployer on the way to orbit. This data can be used to better understand the launch environment for different vehicles, and help develop new, more realistic testing guidelines that could enable more delicate payloads to be launched.

Every new product launching industrial company faces the difficulties of forecasting future success or failure of a new product before launch. Before launch it is common to develop a business case in order to estimate future quantities and set prices. In the present paper the challenges of developing a standardized business case tool for a large industrial construction and mining company are presented. Few academic studies have been conducted on the challenges and complexities of developing business cases. The research question under which this study is done is: What are the challenges associated with developing an effective standardized business case tool for a large industrial construction and mining company? Due to the different subject areas of the business case for new product launch, the challenges are categorized by topics developed by the researcher in the course of this project: process and team, data gathering and validation, quantity forecast and price forecast. The main challenges found in these categories by the researcher are: finding and motivating experts for the project of developing a standardized business case, gathering and selecting all data necessary without including redundant data, ensuring that different potential new products can be forecasted and designing the price forecast to be profit-maximizing. Solutions to these challenges are provided in the context of a case company by using methods suggested by the academic literature and the evaluation of expert interviews inside the case company

A large fleet (in the hundreds) of high quality telescopes are used for tracking and imaging of launch vehicles during ascent from Cape Canaveral Air Force Station and Kennedy Space Center. A maintenance tool has been development for use with these telescopes. The tool requires rankings of telescope condition in terms of the ability to generate useful imagery. It is thus a case of ranking telescope conditions on the basis of the perceptual image quality of their imagery. Perceptual image quality metrics that are well-correlated to observer opinions of image quality have been available for several decades. However, these are quite limited in their applications, not being designed to compare various optical systems. The perceptual correlation of the metrics implies that a constant image quality curve (such as the boundary between two qualitative categories labeled as excellent and good) would have a constant value of the metric. This is not the case if the optical system parameters (such as object distance or aperture diameter) are varied. No published data on such direct variation is available and this dissertation presents an investigation made into the perceptual metric responses as system parameters are varied. This investigation leads to some non-intuitive conclusions. The perceptual metrics are reviewed as well as more common metrics and their inability to perform in the necessary manner for the research of interest. Perceptual test methods are also reviewed, as is the human visual system. iv Image formation theory is presented in a non-traditional form, yielding the surprising result that perceptual image quality is invariant under changes in focal length if the final displayed image remains constant. Experimental results are presented of changes in perceived image quality as aperture diameter is varied. Results are analyzed and shortcomings in the process and metrics are discussed. Using the test results, predictions are made about the form of the metric response to object distance variations, and subsequent testing was conducted to validate the predictions. The utility of the results, limitations of applicability, and the immediate ability to further generalize the results is presented.

This study investigates the use of a Model Reference Adaptive Control (MRAC) direct approach to solve the attitude control problem of an Expendable Launch Vehicle (ELV) during its boost phase of flight. The adaptive autopilot design is based on Lyapunov Stability Theory and provides a useful means for controlling the ELV in the presence of environmental and dynamical uncertainties. Several different basis functions are employed to approximate the nonlinear parametric uncertainties in the system dynamics. The control system is designed so that the desire dresponse to a reference model would be tracked by the closed-loop system. The reference model is obtained via the feedback linearization technique applied to the nonlinear ELV dynamics. The adaptive control method is then applied to a representative ELV longitudinal motion, specifically the 6th flight of Atlas-Centaur launch vehicle (AC-6) in 1965. The simulation results presented are compared to that of the actual AC-6 post-flight trajectory reconstruction. Recommendations are made for modification and future applications of the method for several other ELV dynamics issues, such as control saturation, engine inertia, flexible body dynamics, and sloshing of liquid fuels.

Proper engine selection for Reusable Launch Vehicles (RLVs) is a key factor in the design of low cost reusable launch systems for routine access to space. RLVs typically use combinations of different types of engines used in sequence over the duration of the flight. Also, in order to properly choose which engines are best for an RLV design concept and mission, the optimal trajectory that maximizes or minimizes the mission objective must be found for that engine configuration. Typically this is done by the designer iteratively choosing engine combinations based on his/her judgment and running each individual combination through a full trajectory optimization to find out how well the engine configuration performed on board the desired RLV design. This thesis presents a new method to reliably predict the optimal engine configuration and optimal trajectory for a fixed design of a conceptual RLV in an automated manner. This method is accomplished using the original code Steele-Flight. This code uses a combination of a Genetic Algorithm (GA) and a Non-Linear Programming (NLP) based trajectory optimizer known as GPOPS II to simultaneously find the optimal engine configuration from a user provided selection pool of engine models and the matching optimal trajectory. This method allows the user to explore a broad range of possible engine configurations that they wouldn't have time to consider and do so in less time than if they attempted to manually select and analyze each possible engine combination. This method was validated in two separate ways. The codes ability to optimize trajectories was compared to the German trajectory optimizer suite known as ASTOS where only minimal differences in the output trajectory were noticed. Afterwards another test was performed to verify the method used by Steele-Flight for engine selection. In this test, Steele-Flight was provided a vehicle model based on the German Saenger TSTO RLV concept and models of turbofans, turbojets, ramjets, scramjets and rockets. Steele-Flight explored the design space through the use of a Genetic Algorithm to find the optimal engine combination to maximize payload. The results output by Steele-Flight were verified by a study in which the designer manually chose the engine combinations one at a time, running each through the trajectory optimization routine to determine the best engine combination. For the most part, these methods yielded the same optimal engine configurations with only minor variation. The code itself provides RLV researchers with a new tool to perform conceptual level engine selection from a gathering of user provided conceptual engine data models and RLV structural designs and trajectory optimization for fixed RLV designs and fixed mission requirement. / Master of Science

Modern management literature highlights the importance of headquarter and country organisations working together in an interdependent fashion to improve their performance. However, empirical support for this link is scarce; moreover, the theoretical framework on the factors that may affect these relationships and the prerequisites for fostering them is limited. Current literature highlights the importance of high levels of interdependency between HQs and subsidiaries for the performance of the subsidiary, but a direct relationship has not been established. In this research, the link between headquarter-subsidiary interdependence and subsidiary-level performance is empirically probed and explored, using a longitudinal, multi-method approach that combines quantitative and qualitative data. Responses to surveys from 53 marketing and business managers are used to describe the interdependence levels, which are then combined with actual launch outcomes data for Xarelto® in their respective countries. Based on the survey results, a direct link between headquarter and subsidiary interdependence and the launch success of Xarleto® could not be established and subsidiary interdependence and uptake levels were used to select 10 countries for further explorative interviews. The results of these highlighted that, through fully collaborative and supportive headquarter subsidiary relationships, improved knowledge transfer, avoidance of duplication and leveraging of materials and expertise, product launch outcomes in the subsidiary could be enhanced. Moderators to these relationships and factors to maintain these relationships will be presented and this research and a link to network theory and social capital will be made. This research provides several practical recommendations that can be taken into consideration when planning future launches to enhance product uptake in subsidiary markets. / Bayer Corporation (US)