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Exploring New Realms with 3D Printing and Miniaturization in Piezoelectrics
Advancements in piezoelectrics have been instrumental in transforming diverse industries, from healthcare to consumer electronics.
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Applied Technology Review | Thursday, January 04, 2024
Developments in piezoelectrics through 3D printing and miniaturization are transcending boundaries, enabling customization and complex design, and opening new unparalleled opportunities in various sectors.
FREMONT, CA: Advancements in piezoelectrics have been instrumental in transforming diverse industries, from healthcare to consumer electronics. In recent years, two key trends have surfaced, exerting a considerable impact on piezoelectric technology: the integration of 3D printing and the pursuit of miniaturization. Furthermore, along with these prominent developments, the combination of 3D printing and the complex design of microscale structures is poised to enhance the characteristics, functionality, and anisotropic qualities of piezoelectric devices. This ushers in a new era of elevated applications and efficiency.
The Role of 3D Printing in Piezoelectric Device Fabrication
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The ability to generate an electric charge in response to mechanical stress has positioned piezoelectric materials as an indispensable factor in the spectrum of applications, encompassing sensors, energy harvesting devices, and ultrasound imaging devices. However, the advancements in structural designs and computational methodologies have prompted the recognition that incorporating 3D microscale features bolsters piezoelectric devices' properties, functionality, and antitropy.
3D printing offers a more accessible way to design small and intricate structures than certain traditional manufacturing techniques. There is growing interest in leveraging 3D printing to craft small features within piezoelectric devices, especially ultrasonic transducers. This technology presents a method to manufacture accurate microscale features that showcase a robust piezoelectric response, facilitating acoustic focusing. The potential extends to generating localized energy outputs and customizing ultrasonic emissions, suggesting applications in diverse medical fields such as in-situ imaging, cavitation-based drug delivery, and neuromodulation therapy.
The performance of ultrasonic transducers is complexly tied to the piezoelectric properties and geometrics of their active elements. Here, 3D printing is advantageous for creating small-scale active features, as conventional tools for manufacturing piezoelectric elements are limited to simpler geometrics such as flat disks, cylinders, and cubes. In contrast, additive manufacturing methods employed in 3D printing help generate a wide array of geometrics since they do not manipulate bulk, brittle materials. Instead, they build up the materials into the desired geometry, a technique recently leveraged by researchers to develop ultrasonic transducers with microscale piezoelectric active elements.
The researchers have created a downsized ultrasound transducer featuring curved lead zirconate titanate (PZT) elements utilizing an innovative 3D printing system tailored for the liquid phase sintering of piezoelectric composites. The manufacturing of these structures typically relies on conventional machining techniques such as etching, dicing, and hot pressing due to the brittleness of piezoelectric ceramics or is confined to 3D-printed composite materials incorporating piezoelectric nanoparticles and polymer matrices.
3D printing offers a distinctive avenue for crafting precise microscale features with a heightened piezoelectric response, deciphering new possibilities for ultrasonic transducer advancement.
Additive Manufacturing Techniques for Piezoelectric Ceramics
Advancements in additive manufacturing have considerably extended possibilities for fabricating piezoceramic materials. However, several methods within this domain result in devices characterized by high porosity and limited piezoelectric response, constraining their practical applications.
One viable approach includes two-photon lithography with post-process sintering, but the most promising solution lies in employing light-based stereolithography (SLA) for printing piezoelectric components. This is enabled by amalgamating piezoelectric nanoparticles with photosensitive monomers, forming composite colloidal materials that can be printed and cured using UV light.
Researchers have adopted an SLA-based additive manufacturing approach, refining a post-processing sintering method to produce dense PZT elements. This optimization aims to boost the piezoelectric response in ultrasonic transducers. Initially experimenting with a micro-stereolithography technique coupled with tape casting for accurate control of the green part, the researchers devised a liquid phase sintering method compatible with printing PZT materials through SLA. They introduced a liquid sealing process to counteract lead atom evaporation during high-temperature sintering, and a debonding process was employed to remove the supportive polymer.
These methodologies collected minimized porosity and elevated performance. The resulting PZT elements demonstrated a piezoelectric charge constant and electromechanical coupling factor of up to 583 pC/N- equivalent to 92.5% of the pristine material’s value, indicating minimal piezoelectric loss. Notably, these values surpassed those achieved values of piezoelectric elements that have been produced by other printing methods.
Other Applications of 3D Printing Techniques in Fabrication of Piezoelectric Devices
Integrating 3D printing techniques into the fabrication of piezoelectric devices has ushered in a realm of possibilities for customization and design complexity. Conventional manufacturing methods often limit piezoelectric components' shapes and sizes, limiting their efficiency and versatility. 3D printing empowers engineers to fashion elaborate structures and complex geometrics, optimizing the performance of piezoelectric materials in unprecedented ways. This level of customization enables tailoring piezoelectric devices to specific applications, whether in the medical field for implantable sensors or in industrial environments for precision control systems.
A considerable advantage of 3D printing in piezoelectric applications is the ability to create intricate composite structures. Amalgamating different materials exhibiting various piezoelectric properties facilitates engineers in designing multifunctional devices with augmented capabilities. For instance, 3D printing allows the integration of rigid and flexible regions within a single device, catering to a spectrum of mechanical demands. This adaptability is particularly beneficial in developing wearable devices, where flexibility and conformability are essential for user comfort and overall performance.
In a technology-driven landscape, these evolving techniques hold immense potential to yield additional breakthroughs in creating compact, highly effective piezoelectric devices. This trajectory is set to define the future domain of sensing, actuation, energy harvesting, and other diverse applications.
London : The 3rd edition of the London Climate Technology Show concluded last week, paving a vital roadmap towards fully decarbonising our planet through sustainable technologies. The event brought together policymakers, eco-technology leaders, industry professionals, and innovators, all unified in their call for an immediate shift to sustainable and green solutions to secure a better future for the planet.
The two-day event opened on 27th November with an inspiring keynote by Felicity Burch, Executive Director of the Responsible Technology Adoption Unit at the Department for Science, Innovation, and Technology (DSIT), who spoke about AI Innovation in Clean Energy and the DSIT's Manchester Prize . Following her, Ing. Abigail Cutajar, CEO of the Climate Action Authority, talked about Pioneering the Surge Towards Climate and Energy Transitions.
The conference unfolded over two dynamic days, featuring a packed agenda of insightful presentations and engaging panel discussions. It delved into actionable strategies for decarbonisation, advancements in AgriTech, the evolving carbon market, eco-funds, energy, CCS, built environment and other groundbreaking innovations in climate technology.
Notable discussions highlighted the need for farmers to balance carbon stewardship with food production over the next few decades, the importance of consistent government policies to enable businesses to plan and innovate effectively, and the urgency of addressing digital and engineering skill shortages to ensure a successful green energy transition. Industry experts also called for common sustainability metrics to measure corporate efforts fairly, emphasized the value of collaboration over competition to accelerate the green transition, and underscored the need for farmers to access landscape-level data to enhance biodiversity.
The exhibition hall featured groundbreaking innovations and solutions in sustainability and climate technology, including carbon capture and storage (CCS) from companies like CGI and Terra CO2 Technology, carbon management and accounting solutions by Greenly and Gaia Carbon Accounting, and emerging climate technologies from innovators such as Nabla Flow and Luna 9. Other exhibitors showcased AI-driven solutions, sustainable energy systems, and innovative carbon reduction technologies, presenting a comprehensive snapshot of the future of climate tech.
#CTS24 also hosted interactive side events, including startup acceleration programs and hands-on workshops, providing participants with opportunities for learning, networking, and collaboration. These sessions empowered attendees to adopt transformative technologies and take decisive climate action.
Attendee Experiences
The event received overwhelming positive feedback:
● Mark Haley , Co-founder of Cero3, shared, "We’re so proud to have unveiled our sustainable travel planner. The feedback and interest exceeded our expectations."
● Satyajit Mohanan , Projects and Business Development Coordinator at Cambridge Cleantech, remarked, "It was a pleasure to be part of this event. I met amazing people and look forward to the next edition."
● Dennis Chacko , Senior Sales Manager at the British Board of Agreement, shared his excitement over a unique sustainable pen: "Once used, you can plant it to grow something new—a powerful reminder of how everyday items can contribute to a greener future."
As this successful edition concludes, the organisers are already planning for a bigger, more impactful 4th Edition , with expanded content and greater opportunities to drive meaningful change toward a sustainable future.
...Read more
The increasing human population and demand for clothing are inevitable, but manufacturers must balance their efforts without overextending themselves. AI can help meet demand without exceeding supply, ensuring the sustainability of the planet's finite resources.
Apparel manufacturing uses AI in the following ways:
Enhancing the grading of materials: Although the human eye is a remarkable instrument, it is also fallible. Grading yarn and other base materials are one area where AI improves quality control (QC).
As a result of applying AI to this area, cost savings are realized, and the fundamental materials used in apparel manufacturing can be graded more precisely. Thus, AI can maintain a higher standard for materials than humans alone, thereby increasing the quality of finished garments.
Increasing the accuracy of final product inspections: A piece of fruit can even be discerned from its skin if it has been bruised through machine learning and computer vision.
Textiles and apparel manufacturing are equally inspiring applications. The condition and salability of newly made and previously worn garments can be assessed by algorithms coupled with specialty illumination systems. By measuring the amount of light that is transmitted and reflected, AI can determine whether a piece of fabric or a garment meets current quality standards at a glance.
The likelihood of Type I and Type II errors in a manufacturing setting was 17.8 percent and 29.8 percent, respectively. In the former case, inspectors miss real defects, while in the latter, false positives are made.
Apparel manufacturers can keep costs and errors down by using AI-powered automated inspection software. Identifying substandard yarn early in the manufacturing process can deliver value throughout the supply chain.
A tailor-made solution for the apparel industry: Artificial intelligence
Another area where AI can shine is sustainable and customized manufacturing. To facilitate cheaper and less resource-intensive custom clothing manufacturing, modern imaging techniques allow end-users to create 3D renderings of their bodies. ...Read more
Practical technology is catalyzing sector convergence, which entails the dissolution of conventional distinctions among diverse industries. This phenomenon fosters novel business paradigms, value constellations, and prospects, enabling organizations to harness technologies and proficiencies beyond their primary domain.
Key Technological Catalysts
Several transformative technologies are serving as the primary drivers of industry convergence, providing the infrastructure and capabilities that enable cross-sector collaboration and the creation of new value. The Internet of Things (IoT) connects physical assets to digital networks, generating vast streams of data that integrate physical and virtual operations. For example, smartwatches and fitness trackers, initially consumer electronics, now serve the healthcare sector by supporting remote patient monitoring and preventative care. Artificial Intelligence (AI) and Machine Learning (ML) build on this data by enabling advanced analytics, driving smarter decision-making, and delivering hyper-personalized services across various industries. Retailers utilize AI to predict consumer trends, optimize supply chains, and personalize shopping experiences. At the same time, financial institutions leverage it for fraud detection and algorithmic trading, thereby blurring the boundaries between technology and traditional banking. Blockchain adds another dimension by offering a secure, transparent framework for managing transactions and data across multiple parties, streamlining cross-sector collaboration in areas such as supply chain management by reducing reliance on intermediaries. The rollout of 5G connectivity provides the speed and low latency necessary to support these technologies at scale, enabling real-time communication between devices and seamless integration across various industries. Autonomous vehicles, for instance, depend on instantaneous connectivity with smart city infrastructure and other cars, exemplifying the convergence of automotive, telecommunications, and urban planning.
Impact on Business and Society
Sector convergence is profoundly altering conventional business paradigms. A single product or service no longer defines enterprises; instead, they are evolving into comprehensive ecosystems that deliver an array of integrated solutions. This evolution fosters novel opportunities for innovation, concurrently introducing complexities such as navigating intricate regulatory frameworks and managing data privacy across disparate sectors. From a consumer perspective, this convergence facilitates enhanced convenience, personalization, and seamless experiences; however, it also raises concerns regarding data security and market dominance. As the trajectory of applied technology continues its advancement, the demarcations between industries will inevitably diminish, thereby ushering in a future characterized by interconnected and integrated services.
Ultimately, applied technology transcends mere efficiency; it represents a fundamental force for change, reshaping the very structure of our economy. The future will be defined by ecosystems of integrated services, where companies succeed not by dominating a single sector, but by seamlessly connecting their offerings with others. This era of convergence promises unprecedented innovation and convenience for consumers. Yet, it also necessitates a proactive approach from businesses and policymakers to navigate the challenges of regulation, data privacy, and market power. Embracing this paradigm shift is crucial for companies seeking to develop in a world where the distinctions between sectors no longer exist. ...Read more
SCADA systems have long formed the backbone of industrial automation. They play a central role in many processes, from manufacturing to utility management, providing an overview and regulation. With the advancement of technology, the future looks set to change considerably for SCADA systems. Emerging trends redefine how SCADA works, further enhancing its capabilities and integrating it into the bigger context of industrial technology.
As it has evolved, SCADA has become integrated with the Internet of Things (IoT), generating massive data that leads to better decisions and process optimization. SCADA systems have begun integrating with IoT devices to provide more accurate and timely data across numerous inputs, improving operational efficiency and giving more profound insights into system performance.
It is revolutionizing the industry by adopting scalable, flexible, and cost-effective solutions that are much sought after by industrial requirements. These enable remote access to system data and controls, making management and troubleshooting easier. The shift towards the cloud has improved data storage and analysis capabilities for robust analytics and historical data review.
Cybersecurity is essential because SCADA systems are rapidly intertwining with other digital platforms. With increased cyber threats today, more security systems are needed to protect sensitive industrial information and ensure the system's integrity. Future SCADA systems will likely incorporate more complex cybersecurity features, including advanced encryptions, multi-factor authentication, and continuous monitoring against potential threats. Advanced security protocols would be crucial in protecting these systems from cyberattacks while ensuring the dependability of critical infrastructure.
AI and machine learning are also increasingly making headlines in the future of SCADA systems. AI algorithms can read vast volumes of data generated by SCADA systems to identify trends, predict when a piece of equipment needs to be serviced, and optimize all related processes. AI-powered predictive analytics can help prevent equipment failures, minimize time loss, and enhance system efficiency. Thus, AI in SCADA has marked a significant milestone in managing industrial processes more proactively, intelligently, and streamlined.
The trend toward edge computing impacts SCADA systems. Edge computing is a form of data processing closer to the source rather than being sent to the centralized cloud or data center. Since this reduces latency and improves response times, it also reduces the amount of data needing to be transmitted over networks. This can enhance SCADA's real-time monitoring and control, making management decisions more efficient. ...Read more