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The document discusses various rapid prototyping technologies including stereolithography, fused deposition modeling, laminated object manufacturing, selective laser sintering, and three dimensional printing. It provides details on how each technology works and compares their advantages and limitations. The document also discusses applications of rapid prototyping technologies, factors for selecting appropriate technologies, and challenges that need to be addressed to improve the technologies.
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Ch1 introduction Erdi Karaçal Mechanical Engineer University of Gaziantep
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The document provides an overview of additive manufacturing (AM), also known as 3D printing. It discusses several AM processes including vat photopolymerization, material jetting, binder jetting, material extrusion, powder bed fusion, sheet lamination, and directed energy deposition. For each process, it describes the basic steps and materials used. The document highlights expanding applications of AM in industries and its potential to significantly impact manufacturing. It also discusses factors that influence AM part quality and costs.Rapid Prototyping
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Kimmo K Mäkelä, VTT: 3D-tulostus: metallit ja muovit.
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Additive Manufacturing (AM) refers to processes that build 3D objects by depositing material layer by layer based on a digital model. This document discusses AM technologies including stereolithography (SLA), selective laser sintering (SLS), fused deposition modeling (FDM), and others. It also covers common materials used like polymers, metals, and ceramics as well as the typical steps in the AM process from CAD file to final part.
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Rapid prototyping (RP) uses additive manufacturing techniques to quickly produce physical prototypes directly from 3D CAD models. There are several RP technologies categorized by the form of the starting material - liquid, solid or powder. RP allows faster prototyping compared to traditional methods and is useful for design validation, engineering analysis, tooling applications and small batch manufacturing. However, RP parts can have reduced accuracy and mechanical properties compared to final production components.
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Additive manufacturing, also known as 3D printing, uses an additive process to create objects layer by layer from 3D model data. The document discusses the seven main AM processes including vat photopolymerization, material jetting, binder jetting, material extrusion, powder bed fusion, sheet lamination, and directed energy deposition. It outlines the current applications and trends in AM, gaps that need to be addressed, and recommendations for the future of AM including increased collaboration, education/training, materials research, and the development of design tools.
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The document discusses additive manufacturing (AM) techniques like direct metal laser sintering (DMLS) and selective laser sintering (SLS). It describes how AM works by building 3D objects layer by layer from a digital model. The document outlines various AM techniques, materials used, industries adopting AM, benefits like reduced tooling and weight optimization, limitations like large volume production issues. It provides examples of companies like EOS that manufacture AM equipment and cost illustrations. Application examples discussed are aerospace parts, potential aero engine parts, and the outlook for AM.
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scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
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for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
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This ppt contains information about manufacturing process which are done bu tiny micro robots , this technique is still under development ,I hope you like it
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Although microbots are used for other medical applications also but they are not included in this ppt since this ppt is only about manufacturing process using microbots
I will be happy to work on the feedback
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This document discusses fused deposition modeling (FDM), a type of additive manufacturing. FDM uses thermoplastic filament fed through an extruder head to deposit material layer by layer. The heated extruder head melts the filament and deposits it in thin layers on a platform according to a 3D computer model. Each new layer bonds to the previous layer, allowing three-dimensional objects to be built up from successive layers of material. FDM is a low-cost type of 3D printing that works well for prototypes and some end-use parts using thermoplastics like ABS and PLA. The document provides details on the FDM printing process and compares it to other additive manufacturing techniques.
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This document discusses using graphene to create 3D printed circuit boards via additive manufacturing. It begins with background on additive manufacturing and how it differs from traditional manufacturing methods. The authors propose using graphene ink for 3D printing due to graphene's high electrical conductivity and strength. The objectives are to extract graphene, create a homogeneous graphene ink, and develop an attachment for existing 3D printers to enable graphene-based 3D printing. The document reviews the evolution of additive manufacturing technologies and materials.
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3. Another case study simulates laser cladding to build a tube, predicting distortions after additive manufacturing and corrective machining to achieve geometric tolerances. Sensitivity studies on process parameters are demonstrated.
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AI assisted telemedicine KIOSK for Rural India.pptx
It gives the overall description of SIH problem statement " AI assisted telemedicine KIOSK for Rural India".
Advanced control scheme of doubly fed induction generator for wind turbine us...
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
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Comparative analysis between traditional aquaponics and reconstructed aquapon...
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
Rainfall intensity duration frequency curve statistical analysis and modeling...
Using data from 41 years in Patna’ India’ the study’s goal is to analyze the trends of how often it rains on a weekly, seasonal, and annual basis (1981−2020). First, utilizing the intensity-duration-frequency (IDF) curve and the relationship by statistically analyzing rainfall’ the historical rainfall data set for Patna’ India’ during a 41 year period (1981−2020), was evaluated for its quality. Changes in the hydrologic cycle as a result of increased greenhouse gas emissions are expected to induce variations in the intensity, length, and frequency of precipitation events. One strategy to lessen vulnerability is to quantify probable changes and adapt to them. Techniques such as log-normal, normal, and Gumbel are used (EV-I). Distributions were created with durations of 1, 2, 3, 6, and 24 h and return times of 2, 5, 10, 25, and 100 years. There were also mathematical correlations discovered between rainfall and recurrence interval.
Findings: Based on findings, the Gumbel approach produced the highest intensity values, whereas the other approaches produced values that were close to each other. The data indicates that 461.9 mm of rain fell during the monsoon season’s 301st week. However, it was found that the 29th week had the greatest average rainfall, 92.6 mm. With 952.6 mm on average, the monsoon season saw the highest rainfall. Calculations revealed that the yearly rainfall averaged 1171.1 mm. Using Weibull’s method, the study was subsequently expanded to examine rainfall distribution at different recurrence intervals of 2, 5, 10, and 25 years. Rainfall and recurrence interval mathematical correlations were also developed. Further regression analysis revealed that short wave irrigation, wind direction, wind speed, pressure, relative humidity, and temperature all had a substantial influence on rainfall.
Originality and value: The results of the rainfall IDF curves can provide useful information to policymakers in making appropriate decisions in managing and minimizing floods in the study area.
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
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Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
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Multi Jet Fusion (MJF)knsnckinevfk kgkdg j
- 1. MULTI JET FUSION (MJF) Submitted By : Prashant (232311011) Department of Mechanical Engineering MTech (CAD/CAM) Computer Aided Product Design MEL538 Submitted to – Dr Hargovind Soni
- 2. CONTENTS • Introduction • Working of MJF • Advantages of MJF • Applications of MJF • Limitations of MJF • Future trends of MJF • Conclusion
- 3. INTRODUCTION • Multi Jet Fusion (MJF) is an advanced additive manufacturing (AM) or 3D printing technology that has gained significant attention for its ability to produce high-quality, complex parts with exceptional speed and precision. • MJF represents a revolutionary step forward in the world of additive manufacturing, offering a unique set of advantages that make it stand out among other 3D printing methods.
- 4. WORKING OF MJF 1. Preparation of the Powder Bed: 1. The process begins with a thin layer of powdered material spread uniformly across the build platform. This material serves as the base for the 3D printing process. 2. Inkjet Printing of Fusing and Detailing Agents: 1. Two liquid agents are selectively jetted onto the powder bed. The first is the fusing agent, which absorbs infrared (IR) light, and the second is the detailing agent, which modifies the surface properties of the powder.
- 5. WORKING OF MJF 1.Heating and Fusion: 1. A heating element passes over the powder bed, applying energy selectively based on the digital model's cross-section. The areas with the fusing agent absorb more energy, leading to localized melting and fusion of the powder particles. 2.Cooling and Solidification: 1. After fusion, the molten areas cool rapidly, solidifying into a solid layer. The detailing agent contributes to the final part's surface quality, enhancing details and improving the overall finish. 3.Layer-by-Layer Build: 1. Steps 2-4 are repeated for each layer until the entire object is formed.
- 7. ADVANTAGES OF MJF • High Speed Production • Exceptional Precision • Versatility in Materials • Cost-effective Production • Enhanced Mechanical properties • Complex Geometries • Scalability,visuals
- 8. APPLICATIONS OF MJF • Prototyping • Manufacturing Tooling • End-use parts in Automotive • Aerospace Components • Medical Device and Prosthetics • Consumer goods & Electronics • Architectural Models
- 9. LIMITATIONS • Material Limitations • Post-processing requirements • Energy Consumption • Build size constraints • Part orientation challenges • Initial Capital Investments
- 10. FUTURE TRENDS IN MJF • Advanced Materials • Improved speed and scalability • Past-processing Automation • Integration with Industry 4.0 • Customization and Design freedom
- 11. CONCLUSION Multi Jet Fusion (MJF) stands as a transformative force in the realm of additive manufacturing, offering a unique combination of speed, precision, and material versatility. Throughout this presentation, we've explored the key aspects of MJF, from its fundamental working principles to its diverse applications in various industries.
- 12. THANK YOU