Article | December 6, 2021
Additive Manufacturing (AM) uses computer-aided design (CAD) or 3D object scanners to create accurate geometric features. In contrast to traditional manufacturing, which frequently involves milling or other processes to eliminate superfluous material, these are produced layer by layer, as with a 3D printing process.
The global additive manufacturing market is expected to grow at a 14.42 percent annual rate from USD 9.52 billion in 2020 to USD 27.91 billion in 2028, according to reports and data. Overall, the worldwide 3D printing industry is gaining traction due to various reasons, some of which are listed below.
Significantly, greater resolution
Reduced manufacturing costs as a result of recent technology breakthroughs
Ease of creating customised goods
Increasing possibilities for printing with diverse materials
Funding by the government for 3D printing ventures
Additive manufacturing is available or may be implemented in various procedures, which is the primary objective of this article. First, we'll look at the seven additive manufacturing processes and which one is the best to use. So let us begin.
“Don’t be afraid to go outside of your industry to learn best practices. There might be something that surprises you or inspires you to try in your line of work.”
– Emily Desimone, Director of Global Marketing at SLM Solutions
Additive Manufacturing Processes
There are numerous diverse additive manufacturing processes, each with its own set of standards. Here are the seven additive manufacturing procedures that many manufacturers consider based on their benefits from each process, or whichever approach best suits their product requirements.
This additive manufacturing process is quite similar to that of conventional inkjet printers, in which material droplets are selectively placed layer by layer to build a three-dimensional object. After completing a layer, it is cured with UV radiation.
VAT Photo Polymerization
This procedure employs a technology called photo polymerization, in which radiation-curable resins or photopolymers are utilized to ultraviolet light to generate three-dimensional objects selectively. When these materials are exposed to air, they undergo a chemical reaction and solidify. Stereo lithography, Digital Light Processing, and Continuous Digital Light Processing are the three primary subcategories.
Binder jetting is a process that deposits a binding agent, typically in liquid form, selectively onto powdered material. The print head deposits alternating layers of bonding agent and construction material and a powder spreader to create a three-dimensional object.
S. Scott Crump invented and patented material extrusion in the 1980s using Fused Deposition Modeling (FDM). The continuous thermoplastic filament is fed through a heated nozzle and then deposited layer by layer onto the build platform to produce the object.
Powder Bed Fusion
Powder bed fusion procedures, particularly selective laser sintering, were the pioneers of industrial additive manufacturing. This approach melts the powdered material and fuses it using a laser or electron beam to form a tangible item. The primary kinds of powder bed fusion are direct metal laser sintering, selective laser sintering, multi-jet fusion, electron beam melting, selective laser melting, and selective heat sintering.
Sheet lamination is a catch-all term encompassing ultrasonic additive manufacturing, selective deposition lamination, and laminated object manufacturing. All of these technologies stack and laminate sheets of material to form three-dimensional objects. After the object is constructed, the parts' undesirable areas are gradually removed layer by layer.
Directed Energy Deposition
Directed energy deposition technology employs thermal energy to melt and fuse the materials to form a three-dimensional object. These are pretty similar to welding processes, but are much more intricate.
Which Additive Manufacturing Process is best? Why?
Based on three fundamental factors, additive manufacturing techniques are categorized into seven types. First, the way material is solidified is determined first by the type of material employed, then by the deposition technique, and finally by how the material is solidified.
The end-user often chooses an additive manufacturing technique that best suits his requirements, followed by the explicit material for the process and application, out of the seven basic additive manufacturing processes.
Polymer materials are commonly used in AM techniques because they are adaptable to various procedures and can be modified to complicated geometries with high precision. Carbon-based compounds are used to strengthen polymers. Polymers, both solid and liquid, have been widely used due to the variety of shapes, formability, and end-use qualities available. Wherever the light-activated polymer contacts the liquid's surface, it instantly solidifies.
Photo polymerization, powder bed fusion, material jetting, and material extrusion are the most common additive manufacturing procedures for polymers. The materials employed in these processes can be liquid, powder, or solid (formed materials such as polymer film or filament).
How BASF is Using Additive Manufacturing
BASF is a chemical company. BASF, one of the world's major chemical companies, manufactures and provides a range of 3D printing filaments, resins, and powders within its extensive material portfolio.
The company, well-known in the 3D printing sector, has formed major material agreements with several 3D printer manufacturers, including HP, BigRep, Essentium, BCN3D, and others.
BASF went even further in 2017 by establishing BASF 3D printing Solutions GmbH (B3DPS) as a wholly-owned subsidiary to expand the company's 3D printing business. In addition, BASF stated last year that B3DPS would change its name to Forward AM.
BASF's role in the 3D printing business, however, is not limited to material development. BASF has made several investments in 3D printing companies over the years, including the acquisition of Sculpteo, one of the significant French 3D printing service bureaus, last year.
BASF sees 3D printing as having a bright future. With the growing popularity of professional 3D printers, all of these systems will eventually require robust, high-quality polymer materials to perform at their best – and BASF has been paving the way to becoming one of the leading solution providers.
All additive manufacturing procedures are unique and helpful in their way. Still, some have additional advantages over others, such as the material used, highresolution, precision, and the ability to build complicated parts. Because of these added benefits, photopolymerization, material jetting, powder bed fusion, and material extrusion are preferred over others. Therefore, choose the AM process that is best suited to your manufacturing business and will assist you in achieving the desired final product output.
What are the benefits of additive manufacturing?
AM enables manufacturers to reduce waste, prototyping costs, and customization while conserving energy and increasing production flexibility. Additionally, it benefits the supply chain and the environment, encouraging businesses to increase their manufacturing sustainability.
What is the major challenge in additive manufacturing?
Many businesses are struggling with the current difficulty of producing large and odd-sized parts using additive manufacturing. So, this can be considered a significant challenge in additive manufacturing.
What are the steps of additive manufacturing?
The additive manufacturing steps are divided into four steps as below,
Step1 - Design a model with CAD software
Step4 - Post-processing
"name": "What are the benefits of additive manufacturing?",
"text": "AM enables manufacturers to reduce waste, prototyping costs, and customization while conserving energy and increasing production flexibility. Additionally, it benefits the supply chain and the environment, encouraging businesses to increase their manufacturing sustainability."
"name": "What is the major challenge in additive manufacturing?",
"text": "Many businesses are struggling with the current difficulty of producing large and odd-sized parts using additive manufacturing. So, this can be considered a significant challenge in additive manufacturing."
"name": "What are the steps of additive manufacturing?",
"text": "The additive manufacturing steps are divided into four steps as below,
Step1 - Design a model with CAD software
Step2 - Pre-processing
Step3 - Printing
Step4 - Post-processing"
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.
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:
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.
"name": "HOW IS INTENT DATA COLLECTED?",
"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."
"name": "HOW CAN MANUFACTURERS LEVERAGE INTENT DATA?",
"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."
"name": "WHAT ARE THE INTENT DATA TOOLS FOR MANUFACTURERS?",
"text": "Some good intent data tools manufacturers can use are:
"name": "WHAT IS BUYER INTENT DATA FOR MANUFACTURERS?",
"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."
Article | April 1, 2021
April 12 -15 ProMatDX, the largest material handling event, will take place virtually. It will feature dozens of AGV vendors. Sadly, some of these highly innovating products still need to be plugged-in to capture power. No more.
Wiferion in process charging eliminates the plug-in charging making AGVs truly autonomous. In process charging eliminates the waste of AGV downtime – the fleet is always working AND charging. In process charging is safe ensuring the OSHA, ergonomics, and danger to workers significantly reduced. In process charging is cost-efficient because full vehicle deployment means a reduced fleet count ensuring a rapid ROI.
For OEMs of AGVs and industrial trucks implementing inductive charging technology solves the wear and tear issues caused by conventional charging methods as well as making vehicles fully autonomous. For end-users of AGVs and industrial trucks, inductive charging in combination with lithium batteries can improve fleet availability by more than 30%.
Whether driverless transport systems (AGVs), electric forklifts, or mobile robots (AMRs), the efficient use of industrial trucks is a decisive factor for competitiveness during ever- increasing cost pressures. The energy systems are being scrutinized and lithium-ion batteries are the preferred technology. The advantages versus lead-acid batteries (including the ability to recharge faster and more often) are obvious. Until now the full potential of storage technology has not been fully realized.
Article | December 21, 2021
Consumer demand has shifted dramatically in recent years, and manufacturers are trying to adapt to this shift. To maintain high product quality, minimize costs, and optimize supply chains, manufacturing analyticshas become essential for manufacturers.
Manufacturing analyticsis the process of gathering and analyzing data from various systems, equipment, and IoT devices in real-time to get essential insights.
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
Manufacturing analyticscan assist in maintaining production quality, boost performance with high-profit returns, decrease costs, and optimize supply networks.
This article will outline manufacturing analyticsand present a list of possible application cases. It will also highlight the benefits of manufacturing analyticsfor any shop floor or factory.
Manufacturing analytics: An Overview
With manufacturing analytics, we can streamline and speed up the entire process. Data interchange and automation helps in speeding up the production process. Manufacturing analyticsuses predictive manufacturing, big data, Industrial IoT, network virtualization, and machine learningto produce better scalable production solutions.
Manufacturing analyticscollects and analyses data from many sources via sensors embedded in machinery to identify areas for improvement. Data is collected and presented in an easy-to-understand structure to illustrate where difficulties emerge throughout the process.
In short, manufacturing analyticscollects and analyses large volumes of data to reveal insights that might improve performance. Users can also obtain automated business reports to reply in real-time.
Why Manufacturing analytics is Vital for Leading Businesses
There are numerous benefits of manufacturing analyticsthat drive any company’s production and overall manufacturing business growth. The benefits of manufacturing analyticsfall into three distinct categories as below.
It reduces the overall cost: Analytics may save a significant amount of money if used more efficiently. Labor costs are also reduced due to automation and semi-autonomous machinery. Similarly, preventive and prescriptive maintenance programs may save money while enhancing productivity.
It boosts profits for businesses: Manufacturers can respond swiftly to changes in demand using real-time insights in production, inventory management, and demand and supply forecasting. For example, assume the data indicates that they are approaching their maximum capacity. In such instances, they can increase over time, increase capacity, modify procedures, or tweak other production areas to adapt and maintain delivery times.
Other unforeseen benefits: There are several advantages to the increased capabilities enabled by manufacturing analytics. These benefits include lower energy use, safer environmental practices, fewer compliance failures, and more customer satisfaction.
Five Real-world Applications of Manufacturing Analytics
A machine's analytics uses aggregate data from real-time detectors to anticipate when it needs to be replaced or functioning irregularly. This process helps predict machine failure or equipment defects.
Analytics can assist in determining a plant's capacity and how many products are produced by the unit in every production cycle, which is helpful in capacity planning. In addition, analytics may help determine the ideal number of units to create over time by considering capacity, sales predictions, and parallel schedules.
Predictive analytics solutions can automate maintenance requests and readings that shortens the procedure and reduce maintenance expenses.
Product development is an expensive process in manufacturing. As a result, businesses must invest in R&D to develop new product lines, improve existing models, and generate new value-added services.
Earlier, this approach was in place by repeated modeling to get the finest outcome. This approach can now be modeled to a large extent, with the help of data science and technologically superior analytics. Real-world circumstances can be replicated electronically using "digital twins" and other modeling approaches to anticipate performance and decrease R&D expenses.
Many factors that might help in the plan significant capital expenditures or brief breakdowns can be explained using historical data and a few high-impact variable strategies. For example, consider the seasonality of products like ice cream. As a result, historical market data and a few high-impact factors can help explain numerous variables and plan major capital expenditures or short-term shutdowns.
In addition to demand forecasting, predictive analytics incorporates advanced statistical techniques. With predictive analytics, a wide range of parameters, including customer buying behavior, raw material availability, and trade war implications, may be taken into consideration.
Warranty support may be a load for many manufacturers. Warranties are frequently based on a "one-size-fits-all" approach that is broader. This approach introduces uncertainty and unanticipated complications into the equation.
Products may be modified or updated to decrease failure and hence expense by using data science and obtaining information from active warranties in the field. It can also lead to better-informed iterations for new product lines to minimize field complaints.
Managing Supply Chain Risks
Data may be recorded from commodities in transit and sent straight from vendor equipment to the software platform, helping to enable end-to-end visibility in the supply chain.
Manufacturing analyticsallows organizations to manage their supply chains like a "control tower," directing resources to speed up or slow down. They may also order backup supplies and activate secondary suppliers when demand changes.
Businesses should adapt to changing times. Using analytics in manufacturinghas altered the business industry and spared it from possible hazards while boosting production lines. Industry 4.0's route has been carved. Manufacturing analyticsis the key to true Industry 4.0, and without it, the data produced by clever IoT devices is meaningless. The future is data-driven, and success will go to those who are ready to adopt it. The faster adoption, the sooner firms go ahead of the competition.
How can data analytics help manufacturers?
Data analytics tools can help manufacturers analyze machine conditions and efficiency in real-time. It enables manufacturers to do predictive maintenance, something they were previously unable to accomplish.
Why is data so crucial in manufacturing?
Data helps enhance manufacturing quality control. Manufacturers can better understand their company's performance and make changes by collecting data. Data-driven manufacturing helps management to track production and labor time, improve maintenance and quality, and reduce business and safety concerns.
What is Predictive Manufacturing?
Predictive manufacturing uses descriptive analytics and data visualization to offer a real-time perspective of asset health and dependability performance. In addition, it helps factories spot quality issues and takes remedial action quicker by eliminating the waste and the cost associated with it.