3D printing chiral metamaterials: What is it?

LUCIE GAGET| January 23, 2019
3D PRINTING CHIRAL METAMATERIALS: WHAT IS IT?
A team of researchers recently launched a paper entitled 3D Printed Chiral Metasurface as Dichroic Dual-Band Polarization Converter. We can see every day that researchers around the world are fascinated with additive manufacturing. Let’s talk about this research focusing on designing and 3D printing chiral metasurface, behaving as a spatial polarization converter with an asymmetric transmission.

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Experts in the design & manufacture of process equipment with corrosion-resistant alloys, TITAN is trusted around the globe within the chemical, petrochemical, oil & gas, liquified natural gas (LNG) and pharmaceutical industries. TITAN’s reputation stems from its extensive experience, proven capabilities, and high degree of personalized customer service all performed by the company’s team of engineers, manufacturing professionals, quality control engineers, and skilled support.

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Building a Smart Factory is Possible Using Machine Learning

Article | December 7, 2021

Machine learning in manufacturing is becoming more widespread, with businesses like GE, Siemens, Intel, Bosch, NVIDIA, and Microsoft all investing heavily in machine learning-based ways to enhance manufacturing. Machine learning is predicted to expand from $1 billion in 2016 to USD 9 billion by 2022at a compound annual growth rate (CAGR) of 44% throughout the forecast period, according to Markets & Markets. The technology is being utilized to cut labor costs, achieve better transition times, and increase manufacturing speed. “I advocate business leaders get to know more about what AI can do and then leverage AI in proofs of concept.” – Michael Walton, Director and Industry Executive, Microsoft speaking with Media 7 Machine learning can help enhance manufacturing processes at the industrial level. This can be achieved by assessing current manufacturing models and identifying flaws and pain factors. Businesses can rapidly address any difficulties to keep the manufacturing pipeline running smoothly. Let us explore how machine learning is transforming manufacturing operations. How Machine Learning Is Transforming Manufacturing Operations “The greatest benefit of machine learning may ultimately be not what the machines learn but what we learn by teaching them.” - Pedro Domingos Machine learning in manufacturing is revolutionizing manufacturing operations and making them more advanced and result-oriented, so let's have a look at how this is unfolding. Allows for Predictive Maintenance Machine learning provides predictive maintenance by forecasting equipment breakdowns and eliminating wasteful downtime. Manufacturers spend far too much time correcting problems instead of planning upkeep. In addition to enhancing asset dependability and product quality, machine learning systems can forecast equipment breakdown with 92% accuracy. Machine learning and predictive analytics increased overall equipment efficiency from 65% to 85%. Increases Product Inspection and Quality Control Machine learning is also utilized for product inspection. Automated inspection and supervision using ML-based computer vision algorithms can discriminate between excellent and bad products. These algorithms simply need excellent samples to train; therefore a fault library is not required. However, an algorithm that compares samples to the most common errors can be built. Machine learning reduces visual quality control costs in manufacturing. Forbe's says AI-powered quality testing can boost detection rates by up to 80%. Logistics-related Tasks Are Automated To run a production line, industrial companies need considerable logistics skills. The use of machine learning-based solutions can improve logistics efficiency and save expenses. Manual, time-consuming operations like logistics and production-related documentation cost the average US business $171,340 annually. It saves thousands of manual working hours every year to automate these everyday procedures. Using Deep Mind AI, Google was able to lower its data center cooling bill by 40%. Creates More Business Opportunities Machine learning is frequently used in the production process. Substantial data analysis is required to create new items or improve existing products. Collection and analysis of huge amounts of product data can help find hidden defects and new business opportunities. This can help improve existing product designs and provide new revenue streams for the company. With machine learning, companies can reduce product development risks by making smarter decisions with better insights. Protects Company’s Digital Assets On-premise and cloud-based machine learning systems require networks, data, and technological platforms to function. Machine learning can help secure these systems and data by restricting access to vital digital platforms and information. Humans’ access sensitive data, choose applications, and connect to it using machine learning. This can help secure digital assets by immediately recognizing irregularities and taking appropriate action. Harley Davidson's Sales Climbed by 40% Using Albert – The ML & AI-Powered Robot Today, traditional marketing is harder to break through. It's easy to see why Albert (an AI-powered robot) would be a good fit for Harley Davidson NYC. Thanks to machine learning and artificial intelligence, robots are producing news stories, working in hotels, controlling traffic, and even running McDonald's. Albert works well with social media and email marketing. It analyzed which customers are more likely to convert and modifies the personal creative copies on its own for the next process. Harley-Davidson is the only company to employ Albert in its business. The company evaluated customer data to find prior consumers who made purchases and spent more time browsing the website than normal. Albert used this data to categorize customers and scale up test campaigns. Using Albert, Harley-Davidson's sales climbed by 40% and leads increased 2,930%, with half coming from high-converting ‘lookalikes' detected by AI and machine learning. Final Words The groundbreaking benefits of machine learning are the pillars of machine learning applications in manufacturing. Machine learning in manufacturing helps enhance productivity without compromising quality. According to Forbes, Amazon has automated warehouse logistics picking and packing using a machine learning system. With Kiva's help, Amazon's typical ‘click to ship' time dropped from 60-75 minutes to 15 minutes. So, industry leaders are seeing fantastic outcomes, and machine learning in manufacturing is the future. FAQ How is machine learning used in manufacturing? Machine learning is used in manufacturing to improve product quality and uncover new efficiencies. It unquestionably aids in the identification and removal of bottlenecks in the manufacturing process. Which two forms of machine learning are there? Machine learning is divided into two forms: supervised and unsupervised. In supervised machine learning, a machine learning algorithm is trained using data that has been labeled. Unsupervised ML has the advantage of working with unlabeled data. What is a machine learning model? A machine learning model is a file that can recognize patterns. In order to learn from a set of data, you must first train a model using an algorithm. { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "How is machine learning used in manufacturing?", "acceptedAnswer": { "@type": "Answer", "text": "Machine learning is used in manufacturing to improve product quality and uncover new efficiencies. It unquestionably aids in the identification and removal of bottlenecks in the manufacturing process." } },{ "@type": "Question", "name": "Which two forms of machine learning are there?", "acceptedAnswer": { "@type": "Answer", "text": "Machine learning is divided into two forms: supervised and unsupervised. In supervised machine learning, a machine learning algorithm is trained using data that has been labeled. Unsupervised ML has the advantage of working with unlabeled data." } },{ "@type": "Question", "name": "What is a machine learning model?", "acceptedAnswer": { "@type": "Answer", "text": "A machine learning model is a file that can recognize patterns. In order to learn from a set of data, you must first train a model using an algorithm." } }] }

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How Intent Data for Manufacturers Can be Beneficial in 2021?

Article | April 6, 2021

As the pandemic upended plans for marketing and sales in 2020, it forced marketers in the manufacturing industry to adopt the tactics of the remote world. Many of them are still wondering how they can focus on driving business growth in 2021. Intent data has undoubtedly added some spice to the season of online marketing. Research conducted by B2BecNews on 110 businesses found that 59.5% of business buyers research two to three websites before buying while 29.7% research up to seven websites. The “How” of Intent Data Intent data allows businesses to channel their expenditure to the leads that matter the most. It boosts sales and encourages marketers to be smarter by doing more in less time. Moreover, b2b buyers now tend to look for an immersive digital experience and are likely to conduct more and more searches before engaging with a brand. Such digital activity will tell you what a visitor’s intentions are called the intent data. To drive your business, here are some tried-and-true and unexpectedly productive ways to scale up your marketing and sales game using intent data. Improve your Sales Pitches/Pipelines When you are expanding or redefining your business because you want to target a new market or audience, third-party intent data is a decent place to start. Through intent data, your sales team can build a year’s pipeline by reaching target audiences. To get the value of your sales, you can use intent data categorizing with a professional group, seniority, functional area, business size, and more for targeted prospects. And if your data provides contact information, your sales team will have an even deeper understanding of the dynamics of prospects’ buying activities. Moreover, learning about the fact if a CEO or a random visitor visits your website creates a difference between a quality lead and a generic one. There are times when organizations don’t vigorously look for a product. But with the right content force, you can direct them towards a purchase decision. This way, you can get a chance to pitch and improve sales. So, how can content pitch sales? The next point explains the importance of nurturing content on your website. Nurture with Personalized Content Once you target new prospects, you can nurture them with excellent and informational marketing content. These can be in various forms like articles, blogs, advertisements, social media, infographics, and more. Personalization results better in the sea of marketing (digitally or manually). Since the pandemic has pushed the digital world extensively, personalization is on a hike. Companies that personalize their marketing strategies to communicate are improved by 86% in customer relations, have higher conversation rates, and observed improvement in businesses. To personalize your content, you have to look at intent data and search for the prospect’s interests. After your research, you can create content for them. Paying attention to contextual information will improve the prospect’s experience, causing them to turn into your client. After you create personalized content, what will happen next? Find out ahead. Generate High-Quality Leads Intent data tells you how far each prospect has progressed. A combination of intent and context data helps with lead scoring, which shows you the quality of leads. For example: A visit to your website by an intern is somewhat different from a CEO’s visit. Consuming content on general industry information differs in value from product-specific content that provides information on websites. When a visitor compares prices, it intends to buy, opposite to a visitor who bookmarks pages. Besides, intent data for manufacturers also tells: Channels to target your prospects actively. Content to encourage Offers to serve The timing of each lead nurturing action Improve Account-Based Marketing Campaigns Account-based marketing and intent data go hand-in-hand. So, it would be best if you worked through every possible path to collect more information about your prospects. This way, it will help you take a focused approach. Once you identify the interested prospects, you can focus your time and energy on those accounts and expand your reach. Intent data helps you to find more in-market customers. They can score leads with better precision and re-shape your marketing campaigns by showing up with the right message at the right time. Include Marketing Automation Operations Implementing marketing automation technologies with intent data will save your team's time. As they usually spent analyzing data entry by automatically setting alerts when buyers intend to show their interest. Why is Intent Data for Manufacturing Becoming Crucial for Future? With marketers, or say, manufacturing marketers, it's always vital to drive revenue for business and get ahead with trending marketing paths. For this, knowing intent of prospects is a must to gain success. Knowing a prospector’s behavior can help your marketing team target a specific profile and create personalized content on demand to increase their purchase decision. After all the information is collected, prospects become more knowledgeable and informed of the decision they make. More information attracts more potential buyers when they are informed conveniently at the right time and manner. In this entire process, you gain an increased ROI. These aspects are incomplete without intent data for manufacturers, which targets numerous data and creates an easy baseline so that marketers can learn precisely about potential prospects’ behaviors. Intent data can be used for the future through a particular pattern. Generic marketing campaigns delivered to a random audience will simply shut down your business. Because now, the users expect to see content that’s valuable to them. Therefore, intent data for manufacturers is the key to providing better answers and solutions and allowing better marketing budgets. Both of these lead to more conversions which results in more revenue. Frequently Asked Questions How is intent data collected? The collection of intent data is not new to marketers. It has gained prominence only after the pandemic. The data is gathered through the website. Its analysis is done by tracking visitors to the website, clicks, chatbots, duration of stay, and information search. How can manufacturers leverage intent data? The steps to leverage are: 1. identify the prospect and what it wants to search or trying to search. It could be keywords, trending words or phrases, and more. 2. Create quality yet informational content following the prospects’ interest. 3. Now, it’s time to promote content with the right on different channels to attract prospects. What are the intent data tools for manufacturers? Some good intent data tools manufacturers can use are: Leadfeeder ZoomInfo KickFire DemandJump What is buyer intent data for manufacturers? Through buyer intent data, your sales team easily reaches out and gets engaged with the right prospect at the right time. Manufacturing marketers use it to plan can create effective campaigns to target potential ones and convince them to buy. { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "HOW IS INTENT DATA COLLECTED?", "acceptedAnswer": { "@type": "Answer", "text": "The collection of intent data is not new to marketers. It has gained prominence only after the pandemic. The data is gathered through the website. Its analysis is done by tracking visitors to the website, clicks, chatbots, duration of stay, and information search." } },{ "@type": "Question", "name": "HOW CAN MANUFACTURERS LEVERAGE INTENT DATA?", "acceptedAnswer": { "@type": "Answer", "text": "The steps to leverage are: 1. identify the prospect and what it wants to search or trying to search. It could be keywords, trending words or phrases, and more. 2. Create quality yet informational content following the prospects’ interest. 3. Now, it’s time to promote content with the right on different channels to attract prospects." } },{ "@type": "Question", "name": "WHAT ARE THE INTENT DATA TOOLS FOR MANUFACTURERS?", "acceptedAnswer": { "@type": "Answer", "text": "Some good intent data tools manufacturers can use are: Leadfeeder ZoomInfo KickFire DemandJump" } },{ "@type": "Question", "name": "WHAT IS BUYER INTENT DATA FOR MANUFACTURERS?", "acceptedAnswer": { "@type": "Answer", "text": "Through buyer intent data, your sales team easily reaches out and gets engaged with the right prospect at the right time. Manufacturing marketers use it to plan can create effective campaigns to target potential ones and convince them to buy." } }] }

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Trends to Boost Your Manufacturing Business in 2022

Article | October 27, 2021

Technologies in the manufacturing industry are upscaling daily. Manufacturers are keen to embrace the latest manufacturing trends to improve their manufacturing process, total production rate, and product quality at their factories. Manufacturing technology advances have also boosted production speed while retaining product quality. “As technology takes over and enhances many of the processes we used to handle with manual labor, we are freed up to use our minds creatively, which leads to bigger and better leaps in innovation and productivity.” – Matt Mong, VP Market Innovation and Project Business Evangelist at Adeaca. Apart from manufacturing technology developments, we will look at new manufacturing business trends in this article, which will help you achieve maximum customer engagement and a positive relationship with your target consumer groups. So, let's see some of the top manufacturing business trends that are assisting the industry in improving its business processes. Manufacturing Business Trends: 2022 Manufacturers must adopt a business procedure that focuses on the target consumer group. Also, incorporating social responsibility and technology into company procedures would be beneficial. Here are five ways manufacturing leaders are becoming more communicative and results-oriented in their manufacturing and consumer experience strategies. Deliver a One-of-a-kind Digital Experience Every industry's target demographic is now online. Manufacturers must use digitalization to interact with their target consumer group to be noticed and remembered. Maintain an active presence on all popular digital platforms used by your target demographic. Post your new products, business strategy, or get genuine customer feedback on your brand and products. Engage your target audience and keep them informed of your progress in making their lives easier. “Marketing is VERY important to any company, although I generally see it being justified by the number of web hits or ‘leads’ that come in” – John Hays, Director of Sales at BALYO Allow your clientele to interact with your products digitally. To be a part of the new digital revolution in any industry, create a new digital business model. Initiative for Ecosystem Partnership An ecosystem partnership is a network of enterprises working together to provide a product or service to meet changing market needs. A partner ecosystem can generate customer-ready solutions faster. It also helps firms to co-create value. This value is demonstrated in extraordinary customer and partner experiences. The B2B ecosystem partners work together to bring mutual benefits to their companies. Revenue Generation via Data Monetization Data monetization allows industrial CIOs (Chief Information Officers) to monetize their digital products and services. Rapid digitization in manufacturing generates massive data. CIOs may monetize and distribute data across ecosystems. CIOs can leverage information as a resource to generate new services or business models. This ensures revenue even when external reasons like supply chain issues or human resource shortages interrupt the firm. Using the Equipment as a Service (EaaS) Approach EaaS, or Pay-Per-Use, is defined as: A business model where equipment is rented rather than sold, with remote diagnostics and predictive maintenance solutions offered by the vendor. Using Eaas reduces capital expense, improves data reliability, and lowers operating costs. As a result, producers can undertake all production-related tasks with precision. Bosch RexRoth CytroBox – a Perfect Example of EaaS The global equipment-as-a-service market is estimated to develop at an 11.5 percent CAGR from 2021-2027. (OpenPR) The RexRoth Cytrobox from Bosch is an example of EAAS. This hydraulic power unit converts electrical power into hydraulic fluid pressure and flow to move and force a machine. They are widely utilized in presses and tooling equipment. It can handle up to 33 kW in a small space. Its exceptionally flexible; its unique design allows it to run efficiently and quietly. In addition, modern automation and sensor packages allow easy integration into modern machine designs. Benefits of Bosch RexRoth CytroBox It provides data insights during the long lifecycles Using this hydraulic power unit on a lease can save a lot of money which cost $100.000 It requires heavy maintenance cost as per its type of usage that can be avoided with the EaaS approach Shifting the Emphasis from B2B to B2C Many firms are moving their attention from B2B to B2C to understand their target consumer better. This new strategic approach helps producers identify market needs and gain real-time feedback on their products. This method helps producers increase profit margins while also controlling the product's interaction with the intended audience. Final Words The latest manufacturing trends will take you to the cutting edge of manufacturing. The manufacturing developments in 2022 will boost the total manufacturing market in the coming years, allowing manufacturers to generate more business revenue. FAQs What is the manufacturing industry's future? Industry 4.0 is rapid technological progress in production and is transforming the worldwide manufacturing industry. According to bccresearch's market research, the global manufacturing and process control market is predicted to increase from $86.7 billion in 2020 to $117.7 billion in 2025, a CAGR of 6.3 percent. What is the industry 4.0 technology in the manufacturing industry? IoT, industrial internet of things (IIoT), Cyber-physical systems (CPS), cloud computing, artificial intelligence, big data, machine learning, robotics, virtual reality, augmented reality, and additive manufacturing or 3D printing are some technologies that are used in industry 4.0 factories. What are the current technology trends in the manufacturing industry? AI, robots, 3D printing, and the like are all the latest manufacturing trends in manufacturing technology. Additionally, enterprise resource planning (ERP), cloud computing, and machine vision all play a significant part in advanced manufacturing. { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "What is the manufacturing industry's future?", "acceptedAnswer": { "@type": "Answer", "text": "Industry 4.0 is rapid technological progress in production and is transforming the worldwide manufacturing industry. According to bccresearch's market research, the global manufacturing and process control market is predicted to increase from $86.7 billion in 2020 to $117.7 billion in 2025, a CAGR of 6.3 percent." } },{ "@type": "Question", "name": "What is the industry 4.0 technology in the manufacturing industry?", "acceptedAnswer": { "@type": "Answer", "text": "IoT, industrial internet of things (IIoT), Cyber-physical systems (CPS), cloud computing, artificial intelligence, big data, machine learning, robotics, virtual reality, augmented reality, and additive manufacturing or 3D printing are some technologies that are used in industry 4.0 factories." } },{ "@type": "Question", "name": "What are the current technology trends in the manufacturing industry?", "acceptedAnswer": { "@type": "Answer", "text": "AI, robots, 3D printing, and the like are all the latest manufacturing trends in manufacturing technology. Additionally, enterprise resource planning (ERP), cloud computing, and machine vision all play a significant part in advanced manufacturing." } }] }

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American Manufacturing Statistics

Article | May 20, 2021

The transformation of raw materials through mechanical, physical, or chemical processes into a new product is the definition of manufacturing in the U.S. These businesses include plants, mills, factories, and warehouses and they rely on power-driven equipment to produce their products. Small businesses and home-based businesses are included in the scope of U.S. manufacturing - this includes sectors like tailor-made clothing, bakeries, candy stores, or toy/crafts creators. Additionally, companies that contract with the businesses in these industries are included in the sector of American manufacturing. It is worth noting: U.S. manufacturing does not include anything relating to housing or commercial construction. Read more...

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Experts in the design & manufacture of process equipment with corrosion-resistant alloys, TITAN is trusted around the globe within the chemical, petrochemical, oil & gas, liquified natural gas (LNG) and pharmaceutical industries. TITAN’s reputation stems from its extensive experience, proven capabilities, and high degree of personalized customer service all performed by the company’s team of engineers, manufacturing professionals, quality control engineers, and skilled support.

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