New doctoral dissertation

June 10, 2025

VILNIUS TECH Library invites you to follow the published new dissertations. The dissertation „Development and investigation of methods to improve characteristics in optical linear encoders„ prepared by VILNIUS TECH, Xinji Lu. The dissertation was prepared in 2021–2025. Scientific Consultant – Prof. Dr Audrius Banaitis.

The dissertation was defended at the public meeting of the Dissertation Defense Council of Mechanical Engineering in the Aula Doctoralis Meeting Hall of Vilnius Gediminas Technical University at 2 p. m. on 10 June 2025.

Optical linear encoders are crucial for high-precision measurement systems used in industries like CNC machining, semiconductor manufacturing, 3D printing, and robotics. They offer better accuracy and resolution than other technologies, but practical challenges, such as subdivisional error (SDE) and installation errors, limit their performance. These issues affect surface quality and motion precision, especially in applications requiring high precision. Despite the research, existing solutions often fail to address these challenges under real-world conditions, highlighting the need for methods that enhance encoder accuracy and reliability by reducing SDE and improving mounting tolerance. This research explores new approaches through theoretical modelling and experimental validation. Advanced mask-less lithography technology is used to create custom main gratings with harmonic suppression patterns to reduce odd-order harmonic distortions, a primary cause of SDE. A hybrid-grating design for open-type optical linear encoders is introduced to improve mounting tolerance and stabilize light distribution over a wider installation gap. MATLAB simulations model the light distribution properties, and experimental testing is conducted on a platform replicating industrial conditions to ensure practical relevance. A key innovation of the dissertation is the hybrid-grating design, which improves mounting tolerance and signal integrity under sub-optimal installation conditions. This design reduces sensitivity to environmental and mechanical disturbances while addressing odd-order harmonic distortions, thus reducing SDE. This dual approach enhances accuracy and ensures reliability in industrial environments. Experimental results show significant SDE reduction and improved signal quality, with the hybrid-grating design maintaining accuracy over a wider installation gap. These results, supported by MATLAB simulations and experimental data, demonstrate the potential benefits for industries requiring high-precision machinery. SDE reduction and mounting tolerance are addressed to enhance the design and application of optical linear encoders. The proposed innovations enhance the accuracy and reliability of optical linear encoder systems, offering practical solutions scalable for industrial applications. The presented work bridges theoretical modelling and practical implementation, providing valuable references for the next generation of high-precision optical linear encoders.

Doctoral dissertation readers can search via VILNIUS TECH Virtual Library.

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New doctoral dissertation
New doctoral dissertation
VILNIUS TECH Library invites you to follow the published new dissertations. The dissertation „Twin transition impact assessment model for agricultural performance in the context of sustainability“ prepared at VILNIUS TECH by Kristina Šermukšnytė-Alešiūnienė. The dissertation was prepared in 2020–2026. Scientific consultant – Dr Rasa Melnikienė. The dissertation was defended at the public meeting of the Dissertation Defence Council of the Scientific Field of Economics in the Aula Doctoralis Meeting Hall of Vilnius Gediminas Technical University at 10 a. m. on 22 September 2026. The twin transition in agriculture, combining the digital and green transitions, is one of the key directions of the European Union’s strategy for developing a more sustainable, resilient, and competitive agricultural sector. This dissertation addresses the problem of how to assess the impact of digital and green transitions on agricultural performance in the context of sustainability. The dissertation aims to develop and empirically substantiate the Twin Transition Impact Assessment Model. The model integrates three assessment levels: farm-level adoption and economic performance; the bioeconomy and value-chain level; and the national and regional context level. Structural asymmetries and enabling mechanisms are included as cross-cutting components. A mixed-methods research design was applied, combining scientific literature analysis, conceptual synthesis, case-study analysis, structured survey analysis, comparative assessment, correlation and regression analysis, sensitivity analysis, semi-structured interviews, document review, and the synthesis of empirical findings. The empirical basis consists of five interconnected studies covering small-farm digitalisation, digital technology adoption in sustainable agriculture and the bioeconomy, the twin transition in Lithuania and Romania, food supply-chain digitalisation, and structural asymmetries in Lithuania’s bioeconomy transition. The empirical results show that the twin transition improves agricultural performance when digital and green solutions are integrated across the farm, value chain, and regional and national levels. Digitalisation supports labour efficiency, planning, customer relations, investment decisions, loss reduction, traceability, product quality, and supply-chain visibility, while also contributing to resource efficiency, renewable energy use, water-use efficiency, emissions reduction, carbon sequestration, and climate resilience. The empirical evidence indicates that the effects of digital and green transitions depend on infrastructure, investment capacity, policy support, digital skills and institutional conditions. The results also show structural differences in transition outcomes: higher investment intensity does not automatically produce stronger economic results, and digital adoption may occur separately from ecological production orientation. On this basis, the dissertation concludes that digital and green transitions can strengthen agricultural performance and sustainability when they are integrated, context-specific and supported by enabling mechanisms. The proposed model provides a scientific and practical framework for assessing agricultural performance under the twin transition across farm-level, bioeconomy and agri-food value-chain, regional-national and structural dimensions. Doctoral dissertation readers can search via VILNIUS TECH Virtual Library.
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