O.K. Bergsma
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34 records found
1
Five imperfection-sensitive strategies were assessed using NASA Shell Buckling Knockdown Factor Project cylinders at 0, 2, and 4 bar, including SPLA, MPLA, EIA, MGI, and a distributed-force perturbation approach (DFPA). Reliability was quantified using the coefficient of variation, Kendall’s W, and the intraclass correlation coefficient.
Results show that pressurization reduces imperfection sensitivity by increasing geometric stiffness. Distributed and multiple-perturbation methods were the most stable across pressures, whereas localized approaches exhibited strong pressure sensitivity. Accurate pressurized buckling prediction, therefore, requires pressure-aware imperfection mechanisms.
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Five imperfection-sensitive strategies were assessed using NASA Shell Buckling Knockdown Factor Project cylinders at 0, 2, and 4 bar, including SPLA, MPLA, EIA, MGI, and a distributed-force perturbation approach (DFPA). Reliability was quantified using the coefficient of variation, Kendall’s W, and the intraclass correlation coefficient.
Results show that pressurization reduces imperfection sensitivity by increasing geometric stiffness. Distributed and multiple-perturbation methods were the most stable across pressures, whereas localized approaches exhibited strong pressure sensitivity. Accurate pressurized buckling prediction, therefore, requires pressure-aware imperfection mechanisms.
This thesis addresses this gap by developing an Adaptive Process Improvement System (APIS) for AFP, which consists of a closed-loop approach for defect mitigation. Central to the system is a profilometer sensor integrated directly onto the AFP machine. This sensor, coupled with an embedded defect detection software, automatically acquires geometric and defect data from the deposited layer, which are then used to generate a detailed defect visualization and a quantitative defect report. Prior to the algorithm design, a comprehensive foundational analysis was conducted to quantify the relationship between AFP process parameters and the formation of specific defects. This correlation analysis established the necessary knowledge base by determining which parameter adjustments cause specific improvements in laminate quality.
The system was validated through a series of deposition tests on the AFP machine at the Airbus Composite Technology Center. Following the production and scanning of a ply, the defect report is analyzed, and the system autonomously adjusts the process parameters for the immediate subsequent layer. This is performed by the APIS algorithm, developed using Python 3.12.9. The results are highly promising: for each subsequent layer, the improved process parameters consistently led to a measurable improvement in laminate quality, quantified by a significant reduction in the frequency and severity of defects. The successful implementation of the system demonstrates the feasibility of achieving fully autonomous, adaptive control in AFP, representing an important step toward Industry 4.0 integration for high-performance composite manufacturing. ...
This thesis addresses this gap by developing an Adaptive Process Improvement System (APIS) for AFP, which consists of a closed-loop approach for defect mitigation. Central to the system is a profilometer sensor integrated directly onto the AFP machine. This sensor, coupled with an embedded defect detection software, automatically acquires geometric and defect data from the deposited layer, which are then used to generate a detailed defect visualization and a quantitative defect report. Prior to the algorithm design, a comprehensive foundational analysis was conducted to quantify the relationship between AFP process parameters and the formation of specific defects. This correlation analysis established the necessary knowledge base by determining which parameter adjustments cause specific improvements in laminate quality.
The system was validated through a series of deposition tests on the AFP machine at the Airbus Composite Technology Center. Following the production and scanning of a ply, the defect report is analyzed, and the system autonomously adjusts the process parameters for the immediate subsequent layer. This is performed by the APIS algorithm, developed using Python 3.12.9. The results are highly promising: for each subsequent layer, the improved process parameters consistently led to a measurable improvement in laminate quality, quantified by a significant reduction in the frequency and severity of defects. The successful implementation of the system demonstrates the feasibility of achieving fully autonomous, adaptive control in AFP, representing an important step toward Industry 4.0 integration for high-performance composite manufacturing.
The primary objective of this thesis is to develop a design methodology for creating effective inner support structures for double-walled vessel technology. The research is grounded in a practical context through a collaboration with AeroDelft, a student team at TU Delft currently retrofitting a Sling 4 aircraft for hydrogen-powered electric flight. As part of the next milestone in their Project Phoenix, AeroDelft aims to store 6 kg of LH2 in a double-walled vessel to meet the mission's requirements.
To begin, functional, operational, and constraint requirements were established for the inner support structure. A baseline design for the inner vessel and outer shell was then developed. Subsequently, four distinct inner support structure concepts were introduced, each with its own design intents and key considerations. These concepts were subjected to various analyses, including modal, thermo-mechanical, crash loads, and heat leakage, to assess their viability and ability to meet essential functional requirements. To determine the most performative design(s), the concepts were evaluated and compared based on the following performance metrics: gravimetric efficiency, heat leakage, safety, and feasibility of manufacturing and assembly.
The analyses demonstrated that all four design concepts meet the essential functional requirements, providing a solid foundation for further development or potential prototyping. While the focus was on a vessel designed for a small aircraft, the methodology and design insights are applicable to larger systems. Hence, this research contributes to advancing cryogenic storage solutions for hydrogen-powered aviation.
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The primary objective of this thesis is to develop a design methodology for creating effective inner support structures for double-walled vessel technology. The research is grounded in a practical context through a collaboration with AeroDelft, a student team at TU Delft currently retrofitting a Sling 4 aircraft for hydrogen-powered electric flight. As part of the next milestone in their Project Phoenix, AeroDelft aims to store 6 kg of LH2 in a double-walled vessel to meet the mission's requirements.
To begin, functional, operational, and constraint requirements were established for the inner support structure. A baseline design for the inner vessel and outer shell was then developed. Subsequently, four distinct inner support structure concepts were introduced, each with its own design intents and key considerations. These concepts were subjected to various analyses, including modal, thermo-mechanical, crash loads, and heat leakage, to assess their viability and ability to meet essential functional requirements. To determine the most performative design(s), the concepts were evaluated and compared based on the following performance metrics: gravimetric efficiency, heat leakage, safety, and feasibility of manufacturing and assembly.
The analyses demonstrated that all four design concepts meet the essential functional requirements, providing a solid foundation for further development or potential prototyping. While the focus was on a vessel designed for a small aircraft, the methodology and design insights are applicable to larger systems. Hence, this research contributes to advancing cryogenic storage solutions for hydrogen-powered aviation.
This study focuses on the interlaminar properties of these TMCs and how they are impacted by recycling. The results indicate that the change in rod/secondary-matrix interface due to recycling is insignificant. This suggests that these TMCs can be considered as favourable condidates in for sustainable composite industries. ...
This study focuses on the interlaminar properties of these TMCs and how they are impacted by recycling. The results indicate that the change in rod/secondary-matrix interface due to recycling is insignificant. This suggests that these TMCs can be considered as favourable condidates in for sustainable composite industries.
Development of short fiber C/C-SiC material for rocket nozzle applications
Manufacturing analysis and material characterisation for a CMC nozzle prototype
Measuring Ground Reaction forces in Running Specific Prostheses
A Fibre Optical Sensor approach
Effects of Defects in Thermoplastic Composite Pipes
The Assessment of Mechanical Performance Reduction due to Manufacturing-Induced Defects in Thermoplastic Composite Pipes
Composite Cylindrical Shell Buckling
Simulation & Experimental Correlation
As such, the research presented in this report aims to evaluate the feasibility of such FCM process with regard to aerospace applications by the integration and optimisation of a novel print head within a 6-axis industrial robot, capable of printing high performance prepreg filament in all arbitrary directions. ...
As such, the research presented in this report aims to evaluate the feasibility of such FCM process with regard to aerospace applications by the integration and optimisation of a novel print head within a 6-axis industrial robot, capable of printing high performance prepreg filament in all arbitrary directions.
Fracture toughness tests have been performed on center cracked tensile specimens, with varying sizes and initial crack ratios, under quasi static loading. The tests showed nonlinear behavior at the crack tip, leading to crack-blunting, fibers shifting and matrix release. This is due to the low adhesion of the matrix with the fibers and the flexible nature of the cloth. General failure mode proved to be strength-dominant and therefore no critical stress intensity factor could be determined.
To predict the failure and of the cloth, a numerical simulation based on the peridynamic framework is proposed. The model includes the anisotropic elasticity of the cloth but not the nonlinear effects like fiber shifting. Therefore the strength of the cloth is eventually underestimated. ...
Fracture toughness tests have been performed on center cracked tensile specimens, with varying sizes and initial crack ratios, under quasi static loading. The tests showed nonlinear behavior at the crack tip, leading to crack-blunting, fibers shifting and matrix release. This is due to the low adhesion of the matrix with the fibers and the flexible nature of the cloth. General failure mode proved to be strength-dominant and therefore no critical stress intensity factor could be determined.
To predict the failure and of the cloth, a numerical simulation based on the peridynamic framework is proposed. The model includes the anisotropic elasticity of the cloth but not the nonlinear effects like fiber shifting. Therefore the strength of the cloth is eventually underestimated.
Carbon Fibre Composite Rim
An automation feasibility study
The scope of this thesis was to tackle the automation and manufacturing difficulties of double bend products. Braids were evaluated as a solution, which proved to be usable for automatic manufacturing. In order to achieve full automation, the main manufacturing issues are correlated to design details of the product. These details need proper production equipment and optimized processes in order for quality to be consistent.
Braids were tested for automation and were found to be very successful with respect to simplicity of forming. A rim was manufactured using braids only, together with a thermoset matrix. Applying a thermoplastic matrix would be a logical next step, and could mean further advancement in automation of carbon fibre products. ...
The scope of this thesis was to tackle the automation and manufacturing difficulties of double bend products. Braids were evaluated as a solution, which proved to be usable for automatic manufacturing. In order to achieve full automation, the main manufacturing issues are correlated to design details of the product. These details need proper production equipment and optimized processes in order for quality to be consistent.
Braids were tested for automation and were found to be very successful with respect to simplicity of forming. A rim was manufactured using braids only, together with a thermoset matrix. Applying a thermoplastic matrix would be a logical next step, and could mean further advancement in automation of carbon fibre products.