Laser micromachining is a high-precision manufacturing technique that uses lasers to cut materials at a micrometer scale. It works by focusing a laser beam onto a workpiece to remove material via melting, vaporizing, or ablating. It can be used for machining plastics, metals, and other materials. Applications include microelectronics, medical devices, optics, and precision engineering. Advantages are high precision, versatility in materials used, and a non-contact process. Disadvantages include high costs, potential for heat damage, limited material selection, and safety concerns from the high-intensity laser.
The document discusses micromachining, which refers to machining processes that remove small amounts of material to achieve high geometric accuracy at the micro level. Key points include:
- Micromachining is used to manufacture micro-structures and parts 1-500 micrometers in size.
- There is a growing demand for miniaturized products, driving increased use of micromachining.
- Micromachining techniques include bulk micromachining, surface micromachining, LIGA, and laser micromachining.
- Micromachining has applications in fields like biotechnology, medical devices, optics, and sensors.
This document discusses laser micromachining, including its working principle, types, applications, advantages, disadvantages, and safety considerations. Laser micromachining uses focused laser beams to cut, drill, or modify small features less than 1 mm in size. It has applications in manufacturing integrated chips and microelectromechanical systems. The technique offers advantages like contactless machining, flexibility, and precision, but high equipment costs and safety hazards from high intensity light.
Laser Processing of Different materials and its application.aman1312
Presentation of laser application in different types of industry for material processing. Laser materials processing is done on various materials such as metals, non metals, ceramics, polymer materials.
The document discusses photonics and laser beam machining (LBM). Photonics is the science of generating, detecting, and manipulating light, and the term was developed from the invention of the first semiconductor light emitter in the 1960s. LBM is a non-traditional subtractive machining process that uses a directed laser beam to thermally remove material from surfaces. It offers high precision and the ability to machine nearly any material.
This document discusses laser beam machining (LBM), including:
- How lasers work by generating coherent, monochromatic light through stimulated emission.
- Common laser mediums like ruby, Nd:YAG, CO2, and their wavelengths.
- How laser light interacts with materials through absorption, melting, and vaporization.
- Key LBM process parameters like intensity, interaction time, and material properties.
- Applications of LBM like drilling, cutting, welding, and micro-machining.
This document discusses laser beam machining (LBM), including:
- How lasers work by generating coherent, monochromatic light through stimulated emission.
- Common laser mediums like ruby, Nd:YAG, CO2, and their wavelengths.
- How laser light interacts with materials through absorption, melting, and vaporization.
- Key LBM process parameters like intensity, interaction time, and material properties.
- Applications of LBM like drilling, cutting, welding, and micro-machining.
The document discusses micromachining, which refers to machining processes that remove small amounts of material to achieve high geometric accuracy at the micro level. Key points include:
- Micromachining is used to manufacture micro-structures and parts 1-500 micrometers in size.
- There is a growing demand for miniaturized products, driving increased use of micromachining.
- Micromachining techniques include bulk micromachining, surface micromachining, LIGA, and laser micromachining.
- Micromachining has applications in fields like biotechnology, medical devices, optics, and sensors.
This document discusses laser micromachining, including its working principle, types, applications, advantages, disadvantages, and safety considerations. Laser micromachining uses focused laser beams to cut, drill, or modify small features less than 1 mm in size. It has applications in manufacturing integrated chips and microelectromechanical systems. The technique offers advantages like contactless machining, flexibility, and precision, but high equipment costs and safety hazards from high intensity light.
Laser Processing of Different materials and its application.aman1312
Presentation of laser application in different types of industry for material processing. Laser materials processing is done on various materials such as metals, non metals, ceramics, polymer materials.
The document discusses photonics and laser beam machining (LBM). Photonics is the science of generating, detecting, and manipulating light, and the term was developed from the invention of the first semiconductor light emitter in the 1960s. LBM is a non-traditional subtractive machining process that uses a directed laser beam to thermally remove material from surfaces. It offers high precision and the ability to machine nearly any material.
This document discusses laser beam machining (LBM), including:
- How lasers work by generating coherent, monochromatic light through stimulated emission.
- Common laser mediums like ruby, Nd:YAG, CO2, and their wavelengths.
- How laser light interacts with materials through absorption, melting, and vaporization.
- Key LBM process parameters like intensity, interaction time, and material properties.
- Applications of LBM like drilling, cutting, welding, and micro-machining.
This document discusses laser beam machining (LBM), including:
- How lasers work by generating coherent, monochromatic light through stimulated emission.
- Common laser mediums like ruby, Nd:YAG, CO2, and their wavelengths.
- How laser light interacts with materials through absorption, melting, and vaporization.
- Key LBM process parameters like intensity, interaction time, and material properties.
- Applications of LBM like drilling, cutting, welding, and micro-machining.
428043839-Mech-MICROMACHINING-ppt-mech-pptx.pptxROEVER GROUPS
This document discusses micromachining and laser micromachining. It defines micromachining as manufacturing parts between 1 to 500 micrometers in size for miniaturized devices. Laser micromachining uses high power laser beams to precisely remove material without contact or thermal damage. It has advantages over other micromachining methods like high resolution, clean cuts, and ability to machine transparent materials. The document covers the basics of micromachining techniques and processes, as well as applications like manufacturing injection nozzles and micro surgical tools.
Lasers have a wide variety of applications including manufacturing, medicine, metrology, data storage, communications, displays, spectroscopy, microscopy, and more. They are used for cutting, welding, drilling, marking, engraving, and other industrial processes. In medicine they are used for eye surgery, dentistry, cancer treatment, and other procedures. Lasers are also widely used in optical metrology, data storage such as CDs and DVDs, fiber optic communications, laser displays, spectroscopy, microscopy, and scientific applications like laser cooling and optical tweezers.
This document discusses different laser technologies including laser cutting, marking, and welding. It explains that laser cutting uses a focused laser beam like a cutting tool to remove material point by point, allowing for precise cuts. Laser marking uses high-energy lasers to vaporize or change the color of material surfaces to leave permanent marks. Laser welding transmits heat through conduction to melt materials and form pools that fuse pieces together, enabling welding of thin, delicate, or hard-to-access components.
Micro-electro-mechanical systems (MEMS) have been identified as one of the most promising technologies and will continue to revolutionize the industry as well as the industrial and consumer products by combining silicon-based microelectronics with micro-machining technology. All the spheres of industrial application including robots conception and development will be impacted by this new technology. If semiconductor microfabrication was contemplated to be the first micro-manufacturing revolution, MEMS is the second revolution. The paper reflects the results of a study about the state of the art of this technology and its future influence in the development of the construction industry. The interdisciplinary nature of MEMS utilizes design, engineering and manufacturing expertise from a wide and diverse range of technical areas including integrated circuit fabrication technology, mechanical engineering, materials science, electrical engineering, chemistry and chemical engineering, as well as fluid engineering, optics, instrumentation and packaging.
The document discusses MEMS technology and RF MEMS switches. It begins with an introduction to MEMS, describing them as miniaturized electro-mechanical devices made using microfabrication techniques. It then covers MEMS manufacturing processes including materials, photolithography, and silicon micromachining techniques. Next, it discusses RF MEMS switches in particular, describing the two main configurations of series contact switches and shunt capacitive switches. It provides details on the design and operation of capacitive RF MEMS switches, including the geometry, fabrication process using four masking levels, and considerations for transmission line impedance matching and isolation.
Micromachining is used to create micrometer-scale parts and devices. It is derived from traditional machining processes but operates on a smaller scale using less force. There are several micromachining processes including micro milling, laser ablation, etching, and lithography that use mechanical forces, lasers, or chemical reactions to shape materials like ceramics, metals, polymers, and silicon. Micromachining is used to fabricate components for microelectromechanical systems, integrated circuits, medical devices, and more.
Thermal removal techniques like laser beam machining (LBM) and electrical discharge machining (EDM) work by melting and vaporizing material using thermal energy from a heat source. LBM uses a laser beam as the heat source focused onto the workpiece. Short pulse lasers are advantageous as they deposit heat so quickly that it does not diffuse, allowing machining of very hard materials. The heat affected zone is minimized or eliminated. Long pulse lasers leave a recast layer and can cause microcracks. Key laser parameters for micromachining are wavelength, spot size, intensity, depth of focus, pulse length and stability. LBM provides high accuracy and control with minimal edge deformation but requires high energy and may
The document discusses lasers, including their history, components, types, and uses. It provides information on how lasers work and their application in dentistry. Some key points include:
- Lasers work by stimulating emissions from an active medium using an energy source and emitting coherent light waves.
- They have various medical and industrial applications such as surgery, cutting, and printing.
- In dentistry, lasers are used for procedures like soft tissue treatments and cavity preparations due to their precision and reduced pain compared to traditional methods.
The document discusses the history and applications of lasers in dentistry. It notes that the first laser was invented in 1960 and they began being used in dentistry in 1964. It describes different types of lasers like CO2 and Nd:YAG lasers and their uses for procedures like biopsies, frenectomies, and removing lesions. It also summarizes various laser applications in orthodontics such as bonding/debonding brackets, accelerating tooth movement, and preventing cavities during treatment.
This document discusses micro-textured surface treatments that can provide enhanced performance for optics and windows. It describes two main types of microstructures - diffractive structures larger than the wavelength of light and sub-wavelength structures much smaller. Sub-wavelength structures are shown to provide anti-reflection functions and can filter wavelengths or polarization. The document then focuses on the technology drivers of anti-reflection and describes how microstructures have been shown to outperform thin-film coatings in performance, bandwidth, viewing angle, radiation hardness, durability, temperature stability, and laser damage threshold. Microstructures for optical filtering are also discussed, including their unique functionality, fabrication simplicity, and potential advantages over thin-film filters.
Laser soldering is a technique where a precisely focused laser beam provides controlled heating of the solder alloy leading to a fast and non-destructive of an electrical joint.
Nanomanufacturing involves producing materials and parts on the nanoscale using either top-down or bottom-up approaches. The top-down approach starts with large pieces of material and makes them smaller through techniques like lithography, while the bottom-up approach builds up structures atom by atom through self-assembly and deposition. Nanomanufacturing allows precise control at the atomic scale, which gives materials unique properties. Current applications include electronics, sensors, and information storage, while potential future applications could expand to fields like aviation, nanobots, and pharmaceuticals.
MEMS (Micro-Electro-Mechanical Systems) technology involves building microelectronic elements, actuators, sensors and mechanical structures onto a silicon substrate using microfabrication techniques. Common MEMS fabrication methods include bulk micromachining, surface micromachining and HAR (High Aspect Ratio) fabrication. MEMS devices are typically integrated with electronic circuitry and are used for sensing, actuation or as passive micro-structures in a wide range of applications.
This document reviews research on using artificial intelligence to predict laser cutting processes. It discusses how laser cutting works and the main types of lasers used. It also provides an overview of artificial intelligence and its applications. The literature survey summarizes several studies that used artificial intelligence methods like neural networks to model and optimize laser cutting quality factors based on processing parameters. The conclusion is that laser power and cutting speed are important for quality, and artificial intelligence can help determine the best parameter combinations.
This document provides several examples of micro-manufacturing techniques that can create intricate structures on small scales: a 500-micron mite sits on an optical mirror array; a housefly is shown wearing two-millimeter eyeglasses engineered with lasers; a two-millimeter gold foil camel is posed passing through a 300-micron needle. The examples demonstrate precision drilling of 125-nanometer holes, a six-micron atom probe tip magnified 25,000x, and a 4-millimeter submarine molded with a laser. Micro-gears as small as two microns and chain of six microscopic gears are also shown. Nano-technology can produce materials with features below one micron for uses
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
More Related Content
Similar to Laser micromachening and applications.pptx
428043839-Mech-MICROMACHINING-ppt-mech-pptx.pptxROEVER GROUPS
This document discusses micromachining and laser micromachining. It defines micromachining as manufacturing parts between 1 to 500 micrometers in size for miniaturized devices. Laser micromachining uses high power laser beams to precisely remove material without contact or thermal damage. It has advantages over other micromachining methods like high resolution, clean cuts, and ability to machine transparent materials. The document covers the basics of micromachining techniques and processes, as well as applications like manufacturing injection nozzles and micro surgical tools.
Lasers have a wide variety of applications including manufacturing, medicine, metrology, data storage, communications, displays, spectroscopy, microscopy, and more. They are used for cutting, welding, drilling, marking, engraving, and other industrial processes. In medicine they are used for eye surgery, dentistry, cancer treatment, and other procedures. Lasers are also widely used in optical metrology, data storage such as CDs and DVDs, fiber optic communications, laser displays, spectroscopy, microscopy, and scientific applications like laser cooling and optical tweezers.
This document discusses different laser technologies including laser cutting, marking, and welding. It explains that laser cutting uses a focused laser beam like a cutting tool to remove material point by point, allowing for precise cuts. Laser marking uses high-energy lasers to vaporize or change the color of material surfaces to leave permanent marks. Laser welding transmits heat through conduction to melt materials and form pools that fuse pieces together, enabling welding of thin, delicate, or hard-to-access components.
Micro-electro-mechanical systems (MEMS) have been identified as one of the most promising technologies and will continue to revolutionize the industry as well as the industrial and consumer products by combining silicon-based microelectronics with micro-machining technology. All the spheres of industrial application including robots conception and development will be impacted by this new technology. If semiconductor microfabrication was contemplated to be the first micro-manufacturing revolution, MEMS is the second revolution. The paper reflects the results of a study about the state of the art of this technology and its future influence in the development of the construction industry. The interdisciplinary nature of MEMS utilizes design, engineering and manufacturing expertise from a wide and diverse range of technical areas including integrated circuit fabrication technology, mechanical engineering, materials science, electrical engineering, chemistry and chemical engineering, as well as fluid engineering, optics, instrumentation and packaging.
The document discusses MEMS technology and RF MEMS switches. It begins with an introduction to MEMS, describing them as miniaturized electro-mechanical devices made using microfabrication techniques. It then covers MEMS manufacturing processes including materials, photolithography, and silicon micromachining techniques. Next, it discusses RF MEMS switches in particular, describing the two main configurations of series contact switches and shunt capacitive switches. It provides details on the design and operation of capacitive RF MEMS switches, including the geometry, fabrication process using four masking levels, and considerations for transmission line impedance matching and isolation.
Micromachining is used to create micrometer-scale parts and devices. It is derived from traditional machining processes but operates on a smaller scale using less force. There are several micromachining processes including micro milling, laser ablation, etching, and lithography that use mechanical forces, lasers, or chemical reactions to shape materials like ceramics, metals, polymers, and silicon. Micromachining is used to fabricate components for microelectromechanical systems, integrated circuits, medical devices, and more.
Thermal removal techniques like laser beam machining (LBM) and electrical discharge machining (EDM) work by melting and vaporizing material using thermal energy from a heat source. LBM uses a laser beam as the heat source focused onto the workpiece. Short pulse lasers are advantageous as they deposit heat so quickly that it does not diffuse, allowing machining of very hard materials. The heat affected zone is minimized or eliminated. Long pulse lasers leave a recast layer and can cause microcracks. Key laser parameters for micromachining are wavelength, spot size, intensity, depth of focus, pulse length and stability. LBM provides high accuracy and control with minimal edge deformation but requires high energy and may
The document discusses lasers, including their history, components, types, and uses. It provides information on how lasers work and their application in dentistry. Some key points include:
- Lasers work by stimulating emissions from an active medium using an energy source and emitting coherent light waves.
- They have various medical and industrial applications such as surgery, cutting, and printing.
- In dentistry, lasers are used for procedures like soft tissue treatments and cavity preparations due to their precision and reduced pain compared to traditional methods.
The document discusses the history and applications of lasers in dentistry. It notes that the first laser was invented in 1960 and they began being used in dentistry in 1964. It describes different types of lasers like CO2 and Nd:YAG lasers and their uses for procedures like biopsies, frenectomies, and removing lesions. It also summarizes various laser applications in orthodontics such as bonding/debonding brackets, accelerating tooth movement, and preventing cavities during treatment.
This document discusses micro-textured surface treatments that can provide enhanced performance for optics and windows. It describes two main types of microstructures - diffractive structures larger than the wavelength of light and sub-wavelength structures much smaller. Sub-wavelength structures are shown to provide anti-reflection functions and can filter wavelengths or polarization. The document then focuses on the technology drivers of anti-reflection and describes how microstructures have been shown to outperform thin-film coatings in performance, bandwidth, viewing angle, radiation hardness, durability, temperature stability, and laser damage threshold. Microstructures for optical filtering are also discussed, including their unique functionality, fabrication simplicity, and potential advantages over thin-film filters.
Laser soldering is a technique where a precisely focused laser beam provides controlled heating of the solder alloy leading to a fast and non-destructive of an electrical joint.
Nanomanufacturing involves producing materials and parts on the nanoscale using either top-down or bottom-up approaches. The top-down approach starts with large pieces of material and makes them smaller through techniques like lithography, while the bottom-up approach builds up structures atom by atom through self-assembly and deposition. Nanomanufacturing allows precise control at the atomic scale, which gives materials unique properties. Current applications include electronics, sensors, and information storage, while potential future applications could expand to fields like aviation, nanobots, and pharmaceuticals.
MEMS (Micro-Electro-Mechanical Systems) technology involves building microelectronic elements, actuators, sensors and mechanical structures onto a silicon substrate using microfabrication techniques. Common MEMS fabrication methods include bulk micromachining, surface micromachining and HAR (High Aspect Ratio) fabrication. MEMS devices are typically integrated with electronic circuitry and are used for sensing, actuation or as passive micro-structures in a wide range of applications.
This document reviews research on using artificial intelligence to predict laser cutting processes. It discusses how laser cutting works and the main types of lasers used. It also provides an overview of artificial intelligence and its applications. The literature survey summarizes several studies that used artificial intelligence methods like neural networks to model and optimize laser cutting quality factors based on processing parameters. The conclusion is that laser power and cutting speed are important for quality, and artificial intelligence can help determine the best parameter combinations.
This document provides several examples of micro-manufacturing techniques that can create intricate structures on small scales: a 500-micron mite sits on an optical mirror array; a housefly is shown wearing two-millimeter eyeglasses engineered with lasers; a two-millimeter gold foil camel is posed passing through a 300-micron needle. The examples demonstrate precision drilling of 125-nanometer holes, a six-micron atom probe tip magnified 25,000x, and a 4-millimeter submarine molded with a laser. Micro-gears as small as two microns and chain of six microscopic gears are also shown. Nano-technology can produce materials with features below one micron for uses
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
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
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
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.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
1. Laser
Micromachining
and
Applications
Presented By:
ASHISH KUMAR CHAURASIYA
214122007
Lasers in Manufacturing (PR615)
M. Tech, 2nd Semester, Jan-2023
Manufacturing Technology
Department of Production Engineering
National Institute of Technology Tiruchirappalli,
Tamil Nadu - 620015
3. Laser Micromachining
Laser micromachining is a high-precision manufacturing technique that uses lasers to cut, drill,
ablate, or mark materials at a micrometer or sub-micrometer scale..
Laser micromachining is a versatile process and is used widely for machining plastic, glass,
metal as well as preparing thin foils. The process comprises different mechanisms like cutting,
drilling, marking, turning, threading, etc.
Uses a power source (FS laser, Excimer laser) that emits a beam with very high quantum energy
4. Working Principal
The laser beam is focused onto the work piece and can be moved relative to it.
laser micromachining involves using a laser beam to remove material from a workpiece by melting,
vaporizing, or ablating it
The laser machining process is controlled by switching the laser on and off, changing the laser pulse
energy and other laser parameters and by positioning either the work piece or the laser focus.
A laser machine consists of the laser, mirrors for beam guidance, a focusing optic and a positioning
system.
5. Laser Micromachining Challenges
As laser micromachining is thermally induced process, it comes with different problems and research challenges
Formation of heat affected zone, alteration of material properties and generation of thermal stress are the
problems because The laser pulse duration is longer than the heat diffusion time.
Others include formation of machining debris from solidified molten material, generation of that requires
involvement of additional methodologies for removal, etc.
Though ultra short pulse laser can be utilized to prevent pile up of machining debris and generation of heat
effected zone, it cannot completely protect against the formation of recast layer.
.
6. Classification
laser micromachining can be classified into different types based on the mode of laser operation,
the wavelength of the laser, and the type of material being machined.
Pulsed laser micromachining: In this type of micromachining, a laser beam is emitted in pulses
of very short duration, typically in the nanosecond or femtosecond range.like Microelectronics,
Jewelry
Continuous-wave laser micromachining: In this type of micromachining, a laser beam is emitted
continuously over a longer period of time. This technique is used for applications that require
higher throughput and less precise machining.like Solar cells, Photonics
UV laser micromachining: UV lasers operate at shorter wavelengths and can be used to
machine a wide range of materials, including those that are difficult to machine with other types
of lasers. Used for machining glass and other transparent materials.like Textiles, Aerospace
7. Types of laser micromachining based on the technique used
1. Direct writing: In this technique, the laser beam is directly focused onto the material surface to create the desired
pattern or structure. This is commonly used for prototyping and small-scale production of microdevices and
microstructures.
2. Mask projection: In this technique, a mask is placed between the laser beam and the material surface, allowing
only certain areas of the material to be exposed to the laser beam. This is commonly used for high-volume
production of microdevices and microstructures with a high degree of precision and accuracy.
3. Interference: In this technique, two or more laser beams are overlapped on the material surface, creating an
interference pattern that can be used to create complex and precise microstructures. This is commonly used for
creating holographic patterns, diffractive optical elements, and other microscale optical devices.
9. Precision engineering
Laser micromachining is used to create intricate parts for precision engineering
applications, drilling microholes , cutting, grooving.
12. Medical device manufacturing
Laser micromachining is used to manufacture small and intricate medical devices such as catheters,
stents, and implants.
stent is a metal or plastic tube inserted into the lumen of an anatomic vessel.
a flexible tube inserted through a narrow opening into a body cavity, particularly the bladder, for
14. Optics
Laser micromachining is used to create complex optical components, such as
diffraction gratings, micro lenses, and micro mirrors.
15. Advantages of Laser Micromachining
1. High Precision: Laser micromachining provides high precision and accuracy. The laser beam
can be focused down to a small spot size, allowing for precise material removal.
1. Versatility: Laser micromachining can be used on a variety of materials, including metals,
polymers, ceramics, and composites.
1. Non-Contact Process: Laser micromachining is a non-contact process, which means that there
is no physical contact between the laser and the material being machined. This helps to
prevent damage to delicate or fragile parts.
2. Reduced Tool Wear: Because laser micromachining is a non-contact process, there is no tool
wear, unlike traditional machining techniques, which can cause wear and tear on tools.
1. High Processing Speed: Laser micromachining is a high-speed process that can quickly and
efficiently remove material from the workpiece.
16. Disadvantages of Laser Micromachining
1. Cost: Laser micromachining can be an expensive process, especially for high-volume
production runs. The cost of the equipment, maintenance, and energy consumption can be
significant.
2. Heat damage: Laser micromachining generates a lot of heat, which can cause thermal damage
to the material being machined. This can lead to structural changes in the material, affecting its
mechanical properties.
3. Limited material selection: Laser micromachining may not be suitable for all materials. Some
materials, such as certain polymers, may not be able to withstand the high heat generated by
the laser, leading to melting or other forms of damage.
4. Limited cutting depth: Laser micromachining is generally limited to shallow cuts, as the laser
beam may not be able to penetrate deep into the material.
5. Safety concerns: Laser micromachining can be hazardous if proper safety precautions are not
taken. The high-intensity laser beam can cause eye damage and skin burns if not handled
properly.
17. References
Advancements in Laser Micro machining Techniques- By Nadeem Rizvi and Paul Apte.
Laser Micromachining- By Udo Klotzbach, Andres Fabian Lasagni, Michael Panzner and Volker Franke.
Crafer, R. C. and Oakley, P.J. (eds.) Laser Processing in Manufacturing (Chapman & Hall).
Harvey, E. C., Rumsby, P. T., Gower, M. C. and Remnant, J. L. SPIE Conference on Micromachining and
Microfabrication Process Technology , vol. 2639 (1995) 266-277.
Dubreucq, G. M., Zahorsky, D. "KrF excime rlaser as a future deep UV source for projection printing"
Proceedings of International Conference on Microcircuits Engineering (1982) 73-78
Rizvi, N. H. "Production of novel 3D microstructures using excimer laser mask projection techniques" SPIE
Conference on Design, Test and Microfabrication of MEMS and MOEMS, Vol. 3680 (1999) 546-552.
Rowan, C. "Excimer lasers drill precise holes with higher yields" Laser Focus World (August 1995).
Harvey, E. C. and Rumsby, P. T. "Fabrication techniques and their application to produce novel
micromachined structures and devices using excimer laser projection" SPIE Conference on
Micromachining and Microfabrication Process Technology III, vol. 3223 (1997) 26-33
Inspired by the functional hexagonal microstructure array of mosquito compound eye,
a novel strategy to achieve multifunctional integration glass (MIG) is developed
for omni-repellency towards water/fog/ice/contaminants in practical applications.
Parallel micro-trenches with a period of 50 μm were processed by fs-laser line scanning with different laser pulse fluences and laser scanning speeds.