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Presentations at this year’s FLEX Conference illustrated the ongoing development of manufacturing tools and processes, materials, and test and reliability evaluation techniques for the growing field of hybrid electronics, which includes printed electronics and flexible hybrid electronics (FHE). Additionally, the field includes the use of additive manufacturing processes for electronics packaging and system assembly, from die attach to flexible printed circuits.Hosted by FlexTech, a SEMI Strategic Technology Community, the conference provides an opportunity for the device making supply chain to connect to R D, design and manufacturing innovations. A review of some of the key developments highlighted in FLEX presentations follows.Innovations in Flexible Printed CircuitsTokyo-based Elephantech has been focused on using advanced inkjet systems to produce flexible printed circuits. Using additive methods instead of subtractive to produce PCBs can enable reductions in carbon footprint, copper usage and water consumption. In order to achieve these benefits, Elephantech has developed processes for combining inkjet printing of metals and electroless plating. The company synthesizes copper nano particles, which it uses to formulate metal ink. It has implemented artificial intelligence to increase print accuracy, showing the capability of average drop position error of less than 2μm, and depositing 20μm droplets into 40μm grooves and wells (Fig 1).Fig. 1. Elephantech inkjet results showing ~2μm precision and prototypes with 50μm line widthExamples of Elephantech’s use of flexible printed circuit technology include a set of switches for a curved monitor and a pressure sensor with reduced footprint and component count. The company intends to directly compete with larger, rigid PCBs, and is developing a mass-production system with 57,840 nozzles that can process sheet sizes of 500 x 830 mm.Traditional processes for component attach on PCBs include mass reflow ovens, thermal compression bonding, and spot laser reflow. Laserssel has developed laser selective reflow, which promises warpage- and damage-free bonding at increased processing speeds. In addition to improving the productivity of rigid PCB production, the laser selective reflow could also enable in-line processing of roll-to-roll flexible printed circuits, replacing the use of trays for bonding to flexible printed circuits.Scrona, which spun out from ETH Zurich, has developed MEMS-based printheads to improve electrohydrodynamic (EHD) printing. By using an electric field to pull droplets out of the print nozzle, EHD can enable much higher print resolution (sub-micron, compared to tens of microns), and enable the use of higher viscosity inks than would be possible with traditional inkjet heads. While EHD has been under development for some time, its application has been limited by crosstalk, in which the electric fields of adjacent nozzles interact with each other, and the requirement for the nozzle to be within tens of microns from the substrate to enable high print accuracy.Scrona’s MEMS-based nozzles address these EHD problems by shielding adjacent nozzles to prevent crosstalk and by creating a uniform electric acceleration field, which increases print distance to the order of a millimeter. The company has used its system to print a variety of inks on different substrates, as well as conformal printing on 3D surfaces (Fig. 2).Fig. 2. Example of printing silver wires across a polished glass edge; line pitch 25μm, glass thickness 1mmThe Rochester Institute of Technology (RIT) has been developing an additive technique called liquid metal droplet jetting, which can deposit metal traces functionally equivalent to solid wires. The process uses metal wire as a feedstock, which is a fraction of the cost of nanoparticle metals. While tin, zinc, and aluminum have been used, silver and copper are still under development. The wire is melted in a micro-crucible, which feeds a nozzle; metal droplets are then jetted on demand in an argon environment to prevent oxidation (Fig. 3, l). Upon hitting the substrate, the drops solidify into metal traces equivalent to solid wire, quickly enough to avoid melting flexible films, and without curing or drying.Several methods have been explored to eject the jets from the nozzle, including magnetohydrodynamic using electromagnetic pulses, piezo-actuated pistons, and pneumatic jetting using compressed gas (Fig. 3, r). These techniques range from high-jetting-frequency and high-cost to simple and low-cost but low-frequency. Higher frequency enables overlap of droplets, increasing conductivity, and reduced processing time.Fig. 3. Concept of liquid metal droplet jetting (l); pneumatic droplet ejection approach (r)In addition to ongoing development of deposition tools and processes, the material set for additively printed electronics continues to expand. Iris Light Technologies, which spun out of Argonne National Lab and Northwestern University, is developing photonic inks for wafer-scale production of active devices including photodetectors, LEDs, and lasers. The semiconductor-based ink can be deposited via aerosol jet onto silicon wafers. Iris Light is focused on 2D semiconductors, specifically black phosphorous, which has a wider spectral coverage than graphene, is tunable in emission and absorption, and has high mobility.An example of the broadening of the additive manufacturing supply chain, Kraetonics has developed software for creating slices to be used in designing 3D-printed structures and elements. The software enables manufacturing 3D volumetric circuits with reduced size, weight, and power compared to 2D PCBs. The process involves 3D printing of hybrid mechanical-electrical assemblies such as circuits and antennas.Innovations in Test and ReliabilityAn area of active interest in the hybrid electronics community is that of test and reliability. American Semiconductor, a developer of flexible circuitry, and Bayflex, a value-added partner of Japanese equipment company Yuasa, are conducting a project on dynamic harsh environmental FHE reliability testing. The goal is to identify root causes of FHE material and system failures.The companies are developing extended temperature and humidity tests to determine FHE system lifetimes and identify causes of failures from physically deforming FHE materials and systems in harsh temperature and humidity environments. Materials under consideration for testing include:Copper on polyimide substrate with a small outline package IC and surface-mounted componentsNobleflexTM, a multilayer substrate with gold on polyimide in development for medical devicesSilver on PET substrate, with small outline package IC.The team is soliciting other test devices and is planning to coordinate with ongoing development of FHE test standards coordinated by SEMI.Henkel reported on an investigation of accelerated temperature cycling test methods, in which the company applied different combinations of temperature range, stress, and frequency of mechanical force in an effort to reduce cycle time for testing component attach reliability. The study was able to achieve similar failure modes using an accelerated test method in the case of a bonding position shift in which cracking of the die attach film was the failure mode (Fig. 4, approach 4). The study found the greatest acceleration in the case of reduced thermal shock cycles (Fig. 4, approach 1).Fig. 4. Approaches evaluated for accelerated testing of component attach.Engineering consulting firm Exponent presented the results of a study on mechanical testing for characterizing fatigue performance of flexible electronics, conducted with continuous monitoring of fatigue for 6-pin flexible flat cables from seven different vendors. Exponent found that continuous monitoring during bending fatigue testing provided greater resolution in test results including detection of intermittent failure in each sample. The study also found that strain amplitude was a critical factor for determining fatigue life, and that flat flexible cables with larger pitches showed improved fatigue performance.About SEMI FlexTechFlexTech, a SEMI Strategic Technology Community, promotes the growth, profitability and success of the flexible hybrid electronics industry by developing educational forums, directing research, and promoting technology innovation.SEMI FlexTech members benefit from speaking and business networking opportunities, introductions to key industry players, research reports, technical funding, access to end users and industry advocacy at FLEX Conferences.Gity Samadi is Director of SEMI research and development funding programs and SEMI FlexTech and SEMI Nano-Bio Materials Consortium (NBMC). Paul Semenza is an advisor to SEMI on special projects. He was previously with NextFlex, the Flexible Hybrid Electronics Manufacturing Innovation Institute.
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Demand for hi-tech manufactured goods is at an all-time high and is expected to grow significantly in our new digital age, COVID-19 economy. This is especially true for semiconductor chips. Chip manufacturers have been working to meet this demand by building new factories and by optimizing processes and equipment in existing fabs. While there is much media coverage about new factories planned by leading-edge chipmakers and government investments in the semiconductor sector, greenfield fabs entail significant capital expenditures and are sometimes fraught with complex political concerns. As a result, they can take several years to complete and reach their planned production capacity. Instead, the semiconductor industry needs to optimize existing factories in order to increase productivity and yield and meet growing demand by implementing smart manufacturing solutions. Smart manufacturing solutions will inherently reduce costs with more efficient and automated processes, and those savings can be reinvested for the next wave of solutions. Chip Industry on the Bleeding Edge Semiconductor manufacturers have always been focused on bleeding-edge technology to outflank strong competition and build the best products – faster and cheaper. Today, pioneering organizations are using data to optimize manufacturing processes and equipment, a practice known as Smart Manufacturing. While there are many definitions of Smart Manufacturing, the essence is maximizing the utility of big data generated in these factories by leveraging three pillars: Sensing, Connecting, and Predicting. It is not just the digitization in manufacturing, but it is also about turning the data into actions that generate value – an effort the SEMI Smart Manufacturing Committee is driving based on the three pillars. Optimizing return on investment is the ultimate goal. SEMI Smart Manufacturing Initiative activity is based on three pillars that support the goal of increasing ROI. Making the Right Decision, Faster Smart manufacturing practices enable organizations to make the right decisions and take action faster based on insights generated from real-time and historical data. This requires data management technologies and applications that can process, analyze, and act on information instantly. It has become ever more difficult to process and discern the relevant data or signal from the vast volume of data, perform analytics or develop new ML or AI analytic tools, and then make the critical decisions to solve problems as close to real-time as possible. Who’s Responsible – IT or OT? In the past IT (Information Technology) and OT (Operations Technology) were separate entities within organizations, with IT focused on storing large amounts of data for enterprise systems and OT concentrated on using data to perform specific functions. Smart Manufacturing often demands combining IT and OT, difficult in rigid organizations that operate the two organizations independently and lack the infrastructure to implement comprehensive solutions. Success requires executive leadership sponsorship, motivated technical personnel and, most importantly, a clear deliverable on the value in implementing Smart Manufacturing. Many organizations have introduced top-level leadership positions such as a Chief Information Officer or Chief Data and Analytics Officer to address this convergence and many of these leaders are embracing Smart Manufacturing practices. The SEMI Smart Manufacturing community includes many of these leaders and therefore has highlighted the importance in the return on investment for Smart Manufacturing solutions. Read more about IT and OT convergence and note that Smart Manufacturing is synonymous with Industry 4.0. The SEMI Smart Manufacturing Initiative covers the entire supply chain. Get Smart in Smart Manufacturing While new technologies and applications are being created to deal with mountains of data, it is the underlying methodologies and practices that are key to a successful Smart Manufacturing deployment. SEMI, the trade association representing the electronics manufacturing and design supply chain, is in a perfect position to evangelize Smart Manufacturing experiences and best practices for the entire manufacturing community. The more than 30 member companies participating in the SEMI Smart Manufacturing Initiative bring more than 500 years of collective experience and knowledge to the topic. Many segments of the supply chain participate in the SEMI Smart Manufacturing Initiative including packaging, assembly, SMT and PCB assembly, test, software, data management, sensor and material suppliers. Learn How to Manufacture Smarter SEMI SMART Manufacturing is hosting two great conferences in the coming months – the Global Smart Manufacturing Conference (GSMC) and the SEMICON West Smart Manufacturing Pavilion. As a leader of the organizing committee and chair for the SEMICON West Smart Manufacturing Pavilion, I encourage people who want to learn how to implement Smart Manufacturing or expand their knowledge of Smart Manufacturing to attend these events. The GSMC will feature keynotes highlighting the value of Smart Manufacturing, offer tutorials on the three pillars, and introduce several case studies for each of the pillars. Thirty-two organizations – ranging from global cloud providers, semiconductor factory operators, leading equipment vendors and software application solution companies – will present. See the full agenda here. The SEMICON West Smart Manufacturing Pavilion will compliment GSMC by showcasing a number of use cases that highlight the value of Smart Manufacturing. Panel discussions will deep dive into the challenges of implementing these best practices and the direction smart manufacturing is taking in the coming years. Our goal for these events is for you to take this knowledge back to your companies, implement and improve on the detailed solutions highlighted at the conferences, and return next year to share your success stories with the community. See you soon, in person or virtually! About the Author Bill Pierson is VP of Semiconductors and Manufacturing at KX, leading the growth of streaming data analytics in this vertical. Bill is also a chair for the SEMICON West Smart Manufacturing Conference and an active team member of the SEMI Americas Chapter. He has extensive experience in the semiconductor industry including previous experiences at Samsung, ASML and KLA. Bill specializes in applications, analytics, and control. He lives in Austin, Texas, and when not at work can be found on the rock-climbing cliffs or at his son’s soccer matches.
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The SEMI Smart Manufacturing Americas Chapter, a key driver of the Global Smart Manufacturing Initiative, accelerates awareness of digital and data-driven strategies and implementations to help speed adoption of smart manufacturing. In 2021, the Chapter will focus on expanding its work across the industry to include academic and research initiatives. The semiconductor industry saw an unprecedented focus on improving digital monitoring of manufacturing activity in 2020, partially due to COVID-19. The Americas Chapter shared case studies on new tools and techniques for social distancing in fabs, aides for remote maintenance, and tips for remote workers. The Chapter also introduced its three pillars of Sensing, Connecting and Predicting and offered related programs. The Global Smart Manufacturing Conference (GSMC) highlighted the significance of universities and research institutions in the development of smart manufacturing with their focus on joint research for broad dissemination. To help drive smart manufacturing advances, at GSMC several offered non-proprietary tutorials on topic including the following: Integrating sensors for acquisition – CEA-Leti Applying new AI and ML tools and strategies to manufacturing – Binghamton University Digital tools for planning, qualifying and management and scheduling in fabs – MINES Saint-Étienne. Adding AI tools to robot work in a smart factory – KAIST Institutes By continuously highlighting the activities of these and other institutions through presentations, interviews, articles and blog posts, we will draw more attention to what is on the horizon for smart manufacturing in 2021. The SEMI Smart Manufacturing Americas Chapter also plans to elevate activities important to the Outsourced Semiconductor Assembly and Test (OSAT), Surface-Mount Technology (SMT) and Printed Circuit Board Assembly (PCBA) segments of the industry including programs on inspection, traceability and the SEMI SMT-ELS Standard for SMT automation. Thurston Taylor, marketing expert at Tokyo Electron and Vice Chair of the Americas Chapter, notes that “With increasingly more demanding requirements for bump, assembly and test, smart manufacturing and applied data science are necessary to achieve back-end goals now and in the future.” Also, many companies are implementing smart manufacturing applications and assessing various strategies to increase their smart manufacturing capabilities. Members of the Americas Chapter plan to review and develop self-assessment documents and maturity models that apply to front-end wafer fabs all the way through packaging and assembly facilities. “Moving forward it is imperative for all of us to up the intensity on specific ROI vectors such as quality, cost, productivity, sustainability and safety leveraging our smart manufacturing SEMI framework of Sensing, Connecting and Predicting,” said noted Bobby Mitra, worldwide director of Smart Manufacturing at Texas Instruments and Americas Chapter Chair. “By offering special flagship events, invited talks, ROI case-studies and ROI criteria in maturity models, we’ll bring high value to the smart manufacturing industry.” Chapter members also will begin mapping the skills needed to implement and support increasingly digital manufacturing capabilities, including any new skill sets, to help companies develop their hiring, training and management strategies. The mapping effort aims to support companies in building a strong pipeline of employees who can efficiently manage and operate smart manufacturing facilities. For its part, the Americas Chapter’s Go Green Subcommittee will focus on applying smart manufacturing technology to reducing the electronic industry’s carbon footprint by accurately tracking energy waste improving overall fab efficiency. Stay tuned for details on activities planned for our chapters in Europe, China, Japan, Korea, Southeast Asia and Taiwan. To learn more about each chapter and how to get involved, please visit the SEMI Smart Manufacturing Hub and sign up for our newsletter. Ayo Kajopaiye is senior project coordinator, Collaborative Technology Platforms, at SEMI.
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Every day it seems like a new portable voice-first device is coming to market. From smart speakers small enough to fit in your pocket to tiny wireless earbuds and voice-activated TV remote controls, we are using voice increasingly to play music, select TV shows, turn on the lights or interact with our smart thermostat. While the popularity of voice-first interfaces has spawned massive diversity in device type, as long as these devices are portable, they have one thing in common: They’re battery-powered, and that could be a problem for consumers who are tired of frequently recharging or replacing batteries. Change the Architecture, Reduce the PowerThe issue lies in the traditional hardware architectures of today’s voice-first devices, which are notoriously inefficient when it comes to power consumption. Such devices rely on a “digitize-first” model of processing voice data in which the heaviest power-consumers, like the analog-to-digital converter (ADC) and the digital signal processor (DSP), do all the heavy lifting up front, right at the start of the audio signal chain. They continuously digitize and analyze 100% of the ambient sound data as they search for a wake word, even if speech is not present and the only sound is noise. Because voice is spoken randomly and sporadically, that continuous digitization of sound wastes up to 90% of battery power.To tackle the battery drain in portable voice-first devices, we need look no further than the human brain. Our brain processes sound very efficiently. Imagine that you are outside your house having a conversation with your neighbor. You are able to focus on what your neighbor is saying because your brain can differentiate between sounds that it should send to the deeper brain for speech processing and sounds that it shouldn’t bother processing further (e.g., dog barks, sirens or car traffic). The brain spends minimal energy up front to decide whether it should spend additional energy on processing down the line. In other words, it saves the most power-intensive processing only for the important sounds.We can mimic the brain’s approach to signal processing by enabling a new “analyze-first” architecture for voice-first devices. This analyze-first approach requires ultra-low-power analog processing technology that can differentiate voice from noise before the sound data is digitized. This keeps the higher-power capabilities in a voice-first system, such as the wake-word engine, in a low-power mode when just noise is present. This approach only wakes up the higher-power chips in the system, e.g., the DSP or ADC, when it detects speech. Like our brain, a voice-first system uses an analyze-first architecture to conserve energy most of the time, saving the heavy lifting, i.e., the wake-word listening, for times when speech is present. The analyze-first architectural approach to always-on listening analyzes the analog microphone prior to digitization, saving considerable power in portable voice-first devices that run on battery. This architectural shift to analyze-first is well worth the investment because it reduces the system’s power consumption in a battery-powered voice-first device by up to 10x. That’s the difference between a portable smart speaker that runs for a month on battery instead of a week or smart earbuds that last for a whole day instead of a few hours on a single charge. Longer battery life in portable voice-first devices generates more good will among consumers, creating another key differentiator for manufacturers engaged in the ultra-competitive race for more users.For more information on the analyze-first architectural approach to voice-first devices, please view our video.Tom Doyle is CEO and founder of Aspinity. He brings over 30 years of experience in operational excellence and executive leadership in analog and mixed-signal semiconductor technology to Aspinity. Prior to Aspinity, Tom was group director of Cadence Design Systems’ analog and mixed-signal IC business unit, where he managed the deployment of the company’s technology to the world’s foremost semiconductor companies. Previously, Tom was founder and president of the analog/mixed-signal software firm, Paragon IC solutions, where he was responsible for all operational facets of the company including sales and marketing, global partners/distributors, and engineering teams in the US and Asia. Tom holds a B.S. in Electrical Engineering from West Virginia University and an MBA from California State University, Long Beach. For more information, visit www.aspinity.com. Aspinity is a member of SEMI-MEMS Sensors Industry Group, which connects the MEMS and sensors supply network, allowing members to address common industry challenges and explore new markets.
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