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Optimization of Turbofan Engine Performance through Blade Profile Modification

This thesis reports detailed research performed to optimize the geometries of blade rows in turbofan engines through analysis with computational fluid dynamics. The study was conducted systematically by employing theoretical analysis, along with numerical computation used to evaluate the aerodynamic performance of two different blade types. The methodology consisted of the design of blade geometries in SolidWorks, mesh generation using structured and unstructured elements, and CFD simulations on ANSYS Fluent with a focus on cascade analysis. The study commenced with the development of two designs below: Blade Design 1 having a height of 1300 mm, chord length of 294 mm at the base, and 700 mm at a height of 750 mm; Blade Design 2 at a similar height, differing only in leading edge diameters and chord lengths at different cross-sections. This enables detailed meshing such that near-wall regions and critical flow features are resolved with adequate resolution. Using a pressure-based solver, the CFD simulation was performed using the k-ω SST turbulence model, which is proper for capturing near-wall effects and handling adverse pressure gradients. Inlet velocities were considered between 1 and 40 m/s, thus analyzing performance under different operating conditions.

Author: Ajiksun Kumaradhas

Supervisor: Adham Ahmed Awad Elsayed Elmenshawy

Degree: Bachelor

Year: 2024

Work Language: English

Study programme: Aviation Engineering

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Development of Decision Support Tool for Transport Forwarding Company Operating within Netherlands and Italy

This paper investigates the development of a decision support tool for a Latvian transportation company operating in the Dutch and Italian markets. Models and algorithms for optimizing freight routes using Excel and Python are included. Digitalization of logistics processes is recognized as a key to improve efficiency and reduce costs. Two methods for solving the traveling salesman problem were examined and compared: Excel with Solver and Python with the NetworkX library.The methodology involved collecting data from Google My Maps, creating Excel spreadsheets, and developing Python software to automate route optimization. The results showed that both methods improved route planning, reducing time and cost, as well as reducing carbon footprint.The study emphasizes the importance of integrating technologies such as machine learning and big data into logistics to increase flexibility and adaptability. Recommendations were offered to further improve and implement these technologies for sustainable business development and increased competitiveness in international markets.

Author: Anastasija Škaduna

Supervisor: Berdymyrat Ovezmyradov

Degree: Professional Bachelor

Year: 2024

Work Language: English

Increasing the productivity efficiency of the company using the example of as Latvijas Finieris plant Lignums

The bachelor thesis studies the increase of production efficiency at JSC "Latvijas Finieris" factory Lignums, using theoretical approaches and practical solutions. The aim of the thesis is to find out how efficiency improvement can change the structure of the company and improve its competitiveness.The bachelor thesis consists of an introduction and three chapters. The first chapter provides a theoretical investigation of improving production efficiency using different theories and methods. The second chapter describes the operation of the Lignums factory, including its history, structure and current situation. Chapter 3 provides a detailed study and analysis of the production process using in-house programmes and the results of an employee survey. The paper uses a variety of research methods: descriptive analysis, expert interviews, loss optimization techniques, financial analysis and sociological surveys.The conclusions are based on the data and theoretical reviews and provide suggestions for improving production efficiency. The study offers practical solutions to help improve the company's performance and increase its competitiveness in the domestic and international markets.

Author: Arturs Pavlovs

Supervisor: Renāte Indrika

Degree: Bachelor

Year: 2024

Work Language: Latvian

Study programme: Business and Management

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Drone manipulator optimization and integration in affordable quadcopter

This paper explores the development of a drone-attachable manipulator designed to perform construction and maintenance tasks, moving beyond the traditional use of UAVs for monitoring. Our primary objective is to design a manipulator capable of lifting objects weighing up to 300 grams, adhering to principles of low cost, ease of manufacturing, and high quality. We begin with a literature review of UAV types and their suitability for integration with manipulators. The design process involves creating multiple manipulator prototypes using Solidworks for simulations to gather data on performance and structural integrity.Static stress and displacement analyses are conducted to identify areas of high stress and potential deformation. Initial designs demonstrate that the static force required to hold a 300-gram object exceeds the capabilities of our prototypes. The final manipulator design is tested for its lifting capabilities and operational limitations. Re The study concludes with an evaluation of the design process, limitations, and potential for future applications of UAV-integrated manipulators in infrastructure construction and maintenance

Author: Arvis Maiželis

Supervisor: Adham Ahmed Awad Elsayed Elmenshawy

Degree: Bachelor

Year: 2024

Work Language: English

Study programme: Aviation Engineering

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Digital Marketing Strategy of a Company

1. THEORETICAL BASIS OF DIGITAL MARKETING.In this section is methodological and theoretical foundations of digital marketing. The introduction to this area starts by looking at the key elements of digital marketing. Also, the author analyses digital marketing strategies such as content marketing, SEO, contextual advertising, social media strategies, etc. 2. DIGITAL MARKETING OF STREAMING SERVICES.This topic gives a brief introduction to the top music streaming services worldwide, their brief description, and features. The section also shows statistics on the selected market.3. EMPIRICAL STUDY: BEST PRACTICES.This section includes: Researching and analysing the best digital marketing strategies for streaming services, and comparing the performance of the strategies between companies.4. RESULTS.In this section, the survey and the results of the survey, startup trend mining analysis and table with compared results.

Author: Eduards Aņisimovs

Supervisor: Olga Zervina

Degree: Bachelor

Year: 2024

Work Language: English

Study programme: Business and Management

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