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 | October 20, 2021
Machine vision is becoming increasingly prevalent in manufacturing daily across industries. The machine vision manufacturing practice provides image-based automated inspection and analysis for various applications, including automatic inspection, process control, and robot guiding, often found in the manufacturing business.
This breakthrough in manufacturing technology enables producers to be more innovative and productive to meet customer expectations and deliver the best products on the market.
A renowned industry leader Mr. Matt Mongonce conveyed in an interview with Media7,
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.
Why is Machine Vision so Critical?
The machine vision manufacturing process is entirely automated, with no human intervention on the shop floor. Thus, in a manufacturing process, machine vision adds significant safety and operational benefits. Additionally, it eliminates human contamination in production operations where cleanliness is critical.
For instance, the healthcare business cannot afford human contamination in some circumstances to ensure the safety of medicines. Second, the chemical business is prohibited from allowing individuals to come into touch with chemicals for the sake of worker safety. Thus, machine vision is vital in these instances, so it is critical to integrate machine vision systems into your production process.
Machine Vision Application Examples
To better understand how businesses are utilizing machine vision in production, we will look at five cases.
Even a few seconds of production line downtime might result in a significant financial loss in the manufacturing industry. Machine vision systems are used in industrial processes to assist manufacturers in predicting flaws or problems in the production line before the system failure. This machine vision capability enables manufacturing processes to avoid breakdowns or failures in the middle of the manufacturing process.
How is FANUC America Corporation Avoiding the Production Line Downtime with ROBOGUIDE and ZDT?
FANUC is a United States-based firm that is a market leader in robotics and ROBOMACHINE technology, with over 25 million units deployed worldwide. In addition, the company's professionals have created two products that are pretty popular in the manufacturing industry: ROBOGUIDE and ZDT (Zero Down Time).
These two standout products assist manufacturers in developing, monitoring, and managing production line automation. As a result, producers can enhance production, improve quality, and maximize profitability while remaining competitive.
Inspection of Packages
To ensure the greatest possible quality of products for their target consumer groups, manufacturers must have a method in place that enables them to inspect each corner of their product. Machine vision improves the manufacturing process and inspects each product in detail using an automated procedure.
This technology has been used in many industries, including healthcare, automation, and electronics. Manufacturers can detect faults, cracks, or any other defect in the product that is not visible to the naked eye using machine vision systems. The machine vision system detects these faults in the products and transmits the information to the computer, notifying the appropriate person during the manufacturing process.
Assembly of Products and Components
The application of machine vision to industrial processes involves component assembly to create a complete product from a collection of small components. Automation, electronics manufacturing, healthcare (medicine and medical equipment manufacturing), and others are the industries that utilize the machine vision system in their manufacturing process. Additionally, the machine vision system aids worker safety during the manufacturing process by enhancing existing safety procedures.
Manufacturers are constantly endeavoring to release products that are devoid of flaws or difficulties. However, manually verifying each product is no longer practicable for anybody involved in the manufacturing process, as production counts have risen dramatically in every manufacturing organization. This is where machine vision systems come into play, performing accurate quality inspections and assisting producers in delivering defect-free items to their target clients.
Earlier in the PCB penalization process, where numerous identical PCBs were made on a single panel, barcodes were used to separate or identify the PCBs manually by humans. This was a time-consuming and error-prone process for the electronics manufacturing industry. This task is subsequently taken over by a machine vision system, in which each circuit is segregated and uniquely identified using a robotics machine or a machine vision system. The high-tech machine vision system "Panel Scan" is one example of a machine vision system that simplifies the PCB tracing procedure.
The use of machine vision in the manufacturing business enables firms to develop more accurate and complete manufacturing processes capable of producing flawless products. Incorporating machine vision into manufacturing becomes a component of advanced manufacturing, which is projected to be the future of manufacturing in 2022. Maintain current production trends and increase your business revenue by offering the highest-quality items using a machine vision system.
What is the difference between computer vision and machine vision?
Traditionally, computer vision has been used to automate image processing, but machine vision is applied to real-world interfaces such as a factory line.
Where does machine vision come into play?
Machine vision is critical in the quality control of any product or manufacturing process. It detects flaws, cracks, or any blemishes in a physical product. Additionally, it can verify the precision and accuracy of any component or part throughout product assembly.
What are the fundamental components of a machine vision system?
A machine vision system's primary components are lighting, a lens, an image sensor, vision processing, and communications.
"name": "What is the difference between computer vision and machine vision?",
"text": "Traditionally, computer vision has been used to automate image processing, but machine vision is applied to real-world interfaces such as a factory line."
"name": "Where does machine vision come into play?",
"text": "Machine vision is critical in the quality control of any product or manufacturing process. It detects flaws, cracks, or any blemishes in a physical product. Additionally, it can verify the precision and accuracy of any component or part throughout product assembly."
"name": "What are the fundamental components of a machine vision system?",
"text": "A machine vision system's primary components are lighting, a lens, an image sensor, vision processing, and communications."
Article | January 21, 2022
3D printing technology and its role in future manufacturing are grabbing the interest of industry experts. In terms of elevating future products, future additive manufacturing has a lot to offer the business. Additive manufacturing is developing and stretching its wings on a daily basis, becoming an integral part of every industry, including manufacturing, healthcare, education, and more.
In this article, we'll shed some light on the 3D printing future trends, which will assist the business in deepening its impact across industries. Furthermore, we will explore whether the additive manufacturing business is worth investing in as well as who the major players are that have already invested in the future of 3D printing.
Future Trends in the Additive Manufacturing Industry
Enhanced Machine Connectivity
Making AM solutions (including software and hardware) easier to integrate and connect to the factory floor is one of the key AM trends we predict to advance in the coming years. It has been a long time since the AM hardware market has been filled with closed, or proprietary, systems. These systems generally function with materials and software given or approved by the machine OEM and are not easily integrated with third-party alternatives.
Closed systems are important for process dependability, but they also restrict collaboration and connectivity. Companies expanding their AM operations will need to connect their machines and software to their production environments. When it comes to additive manufacturing, using siloed solutions is a surefire way to fail. Importantly, we see hardware manufacturers increasingly focusing on solutions that can be integrated with the production floor.
For example, a 3D printing market leader like Stratasys is a good illustration of the trend. In December, the business announced an extension of its previously closed machines' connection.Consumers may now integrate and control their additive production using software programs of their choosing, not just Stratasys' systems. For AM facilities, system connectivity is no longer an option. It's exciting to see the AM industry players recognize and solve this requirement.
AM and AI Continue to Converge
AM growth is incorporating AI and machine learning. AI can help with material development, machine setup, part design, and workflow automation. So, in the future, we anticipate seeing more AI and AM technology integration.
Combined with AM systems, AI will improve process control and accuracy. For example, Inkbit is currently working on an AI-powered polymer vision system. This technology can scan 3D printing layers and anticipate material behavior during printing.
Generative design, already generally recognized as a key digital advance in AM, may tremendously benefit from AI and machine learning.
It has so far been utilized to improve load routes when strength and stiffness are dominant. It can also be utilized to optimize thermal or vibration. AI and machine learning will advance generative design, allowing new concepts to be completely suited to AM.While we may be a few years away from fully developing the capacity to automatically adapt designs to process, we anticipate significant breakthroughs this year that will bring us closer.
AM Will Drive Decentralization
In order to future-proof their supply chains, many manufacturers are following new supply chain models and technology that allow them to cut prices or switch goods more easily. Increasing flexibility and agility will necessitate distributed, localized production, assisted by additive manufacturing.To reduce the number of steps required to manufacture complex metal or polymer structures, shorten lead times, and enable digital inventory management, digital inventory management can be automated. These advantages make it ideal for the distributed manufacturing model. We believe that in the near future, more businesses will actively explore distributed manufacturing with AM.
According to a recent HP survey, 59% of organizations are now considering hybrid models, while 52% are looking into localized digital manufacturing.
3D Printing Future: Major Predictions
In Jabil's 2021 3D printing trends survey of over 300 decision-makers, 62% of participants claim their organization is actively using additive manufacturing for production of their product components, up from 27% in 2017. Many such manufacturers are on the lookout for the latest additive manufacturing trends and forecasts. So let's begin.
Increasing Flexibility and Customization
Customized goods are a popular consumer trend, impacting several sectors. Rather than buying a mass-produced item, customers are increasingly demanding a custom-made item that meets their specific needs.
Additive manufacturing's low-volume production capabilities simply enable personalization and customization.
3D printing allows for more responsive design options, particularly for additive manufacturing. Manufacturers can afford to make smaller batches, allowing designers and engineers to alter product ideas and develop them cost-effectively when inspiration strikes, the public mood is understood, or customer feedback drops in.
Materials Drive the Future of Digital
As the additive manufacturing ecosystem grows, the importance of materials cannot be overstated. Besides high equipment costs, materials and limited additive manufacturing ecosystems have hindered the 3D printing industry's growth. The market is flooded with 3D printing materials, but few are advanced enough to fulfill industry standards.Due to volume constraints in most sectors, suppliers and manufacturers aren't motivated to develop innovative materials for new uses. However, the future of 3D printing is in engineered and application-specific materials.
Various sectors have unique difficulties that demand unique solutions. New designed materials will revolutionize new uses, including highly regulated sectors. Industries will reward those who can promptly introduce 3D printing materials adapted to specific industrial and engineering needs. This will allow more 3D printing applications to be supplied and the whole digital manufacturing flywheel to start spinning.
3D Printing and a Sustainable Future
Finally, additive manufacturing promotes sustainability and conservation. Besides decreasing trash, 3D printing saves energy. The Metal Powder Industries Federation studied the difference between making truck gear using subtractive manufacturing (17 steps) and additive manufacturing (6 steps).
3D printing uses less than half the energy it takes to produce the same product. 3D printing also reduces the need for moving products and materials, reducing the amount of carbon emitted into the environment. So we can see that digital and additive solutions already contribute to a more sustainable future.
Is Investment in the Future of Additive Manufacturing Worth It?
In recent years, there has been an explosion of investment in industrial 3D printing. Hundreds of millions of dollars have flowed into the industry in recent years, assisting new businesses. Desktop Metal ($160 million), Markforged ($82 million), and 3D Hubs ($18 million) have all received significant funding in the past. According to a recent report and data analysis, the global additive manufacturing market will hit USD 26.68 billion by 2027. A rising level of government support for additive manufacturing across regions is driving market demand.
For example, America Makes, the foremost national initiative in the US since 2012 dedicated to additive manufacturing (3D printing future technology), received USD 90 million in support from the government, commercial, and non-profit sectors. Given the industry's expenditures and the expanding need for 3D printing, investing in the additive manufacturing industry or 3D printing is certainly encouraged.
Additive manufacturing is being used in practically every industry, and companies are researching how technology might be used in their specific fields. The numerous advantages and sustainability that 3D printing provides are the major benefits that manufacturers and other industry professionals notice with 3D printing.Future manufacturing will be significantly more accurate and simple to run thanks to 3D printing technologies. Considering the trends and projections listed above, you may have a better understanding of 3D printing's future and make an informed investment decision.
What is the future of 3D printing?
3D printing, or additive manufacturing, has the potential to empower everything from food to coral reefs. 3D printers may soon be seen in homes, companies, disaster zones, and perhaps even outer space.
Why is 3D printing important to society?
3D printing results in waste reduction and so eliminates the need for periodic waste reduction, reuse, and recycling. So it helps society with no carbon footprint.
Why is it known as additive manufacturing?
The term "additive manufacturing" refers to the fact that the building process adds layers rather than removes raw materials.
Article | December 8, 2021
The new manufacturing industry outlook for 2022 is what businesses desire. Due to COVID-19, the sector has seen several ups and downs in recent years. But the industry overcame the most difficult situation by adopting innovations as their working hands.
But all this upgrading and digitalization in manufacturing isn't for everyone. Some manufacturers may struggle with this change, while others may not. So, taking into account all industry segments, we have compiled a list of potential manufacturing challenges for 2022.
“Many companies simply are not willing to change or think they are done once they make a change. But the truth is that technology, consumer demands; the way we work, human needs and much more are constantly changing.”
– Michael Walton, Director, Industry Executive (Manufacturing) at Microsoft
The summary of manufacturing industry challenges and industry outlook for 2022 are presented in the stats below.
According to the National Association of Manufacturers (NAM), four million manufacturing jobs will likely be needed over the next decade, and 2.1 million will likely go unfulfilled unless we motivate more people to pursue modern manufacturing occupations.
According to PTC, 70% of companies have or are working on a digital transformation plan.
According to Adobe, 60% of marketers feel technology has increased competitiveness.
The statistics show that while digitalization facilitates the process, it also poses several challenges that must be addressed in the coming years. Let's explore what obstacles manufacturers may face in 2022.
The Manufacturing Industry Challenges in 2022
The manufacturing business has had a difficult few years as a result of the current economic downturn, and 2022 may not be even that smooth. Thought, technology, and current trends make the operations of upscale manufacturers easier, but not everyone is on the same page.
Let's look at some of the manufacturing challenges that businesses will face in the next year.
Skilled Labor Shortage
The manufacturing industry is facing a workforce shortfall as a skilled generation prepares to retire. Industry experts say that by 2025, there will be between 2 and 3.5 million unfilled manufacturing jobs. As a result of the advancement of new technologies, manufacturing organisations are finding themselves with fewer personnel. They do, however, require individuals with a diverse range of abilities, such as mathematicians and analytic thinkers, to accomplish the tasks with precision.
Specific manufacturing tasks have been automated to save time and money. Industry has adopted machine sensors to capture large amounts of data. With this kind of innovation, the industry's job structure is changing and the desire to hire an untrained or trainable workforce is slowly fading in the industry. However, using augmented reality and virtual reality, manufacturers can easily train personnel for the job and save money.
Lack of Ability to Mine Data
Manufacturing is progressively using IoT. The majority of businesses have already installed or are planning to install Internet of Things machines. These smart machines let businesses collect data to improve production and conduct predictive maintenance. But getting data is a simple task. The difficult aspect is analyzing and aggregating data.
Despite possessing the machines, most companies lack the systems to analyze and retrieve the data recorded by the systems. In this way, the industries are missing a vital opportunity. The industry must improve data mining capabilities to make better decisions in real-time.
Using IoT for analytics and predictive maintenance is critical. Monitoring technologies can help the sector examine data quickly. It can also help predict an asset's maintenance period. As a result, the industry will move from replacement to predict and fix.
Self-service Web Portals That Is Extremely Detailed and Precise
Manufacturing businesses usually strive for on-time order delivery and optimum revenue. However, consumer self-service, which has been in the industry for a long time, has never proven to be a simple walk for clients. Clients are frequently required to pick up the phone and contact manufacturers in order to track their orders and receive delivery estimates. This is hardly the service one would expect from a manufacturer, even more so in today's digital era.
The term customers in manufacturing include partners, end-users, and subcontractors. These three clients have distinct requirements and concerns about collaborating with the manufacturer. Companies can better serve their customers if their partner and end-customer portals are linked to a central hub which we can mention as self-service web portals.
All of the information and updates they need about their orders will be available to them through this new system. They can track, accept and amend their tasks. They'll also use the self–service portal to contact the manufacturer.
In this way, manufacturers can better serve their customers. A system like this will ensure that all parties have access to timely information in a digital format.
Meeting the Deadline for the Project
Product launch timelines are extremely demanding, tight, and stringent. Every project in the assembly line is about cost, time, and quality. Ultimately, these projects are rigorous and well-controlled. Manufacturers who fail to meet deadlines risk losing millions in potential revenues and sales.
Due to rigidity and stringent control, companies are less able to change project scopes or make adjustments as projects develop. The majority of initiatives begin with a design commitment. As new facts or change criteria emerge, adjustment flexibility decreases. This can be aggravating for a team that expects high-quality results. Deadlines are always a constraint.
Effective Business Digital Marketing Strategy
An industry's key digital transformation challenges are driving leads, sales, and MRR through digital channels. Many manufacturing organizations struggle to efficiently use marketing channels like paid media, enterprise SEO, local SEO, content strategy, and social media. In our opinion, one of the most significant issues these organizations have is their digital experience, website design, and overall brand presentation. They can't ignore them if they want to keep enjoying the manufacturing revival.
Visibility of the Supply Chain
Manufacturers must respond to the growing demand from customers for greater transparency. In order to meet customer demand across the customer experience and product lifecycle, they must first understand that precise and real-time visibility throughout the supply chain is essential.
All details must be taken into consideration by the manufacturers. They must be aware of any delays in the arrival of products on the market. Keeping abreast of such developments would give them a leg up in terms of adjusting or rectifying the situation.
Manufacturing industry challenges have long been a part of the industry. However, industry leaders and professionals have always confronted and overcome any challenges that have come their way. The year 2022 will also be a year of achievements, setting new records, and growth for the manufacturing industry, since it will be a year in which it will develop solutions to all of the aforementioned challenges.
What is the future of manufacturing?
Manufacturers should start using AI, block chains, and robotics today. The combination of these new technologies will reshape manufacturing. A new workforce capable of augmenting these technologies is developing and will become the future of manufacturing.
How will automation affect manufacturing in 2022?
When applied properly, automation can greatly assist manufacturing. These benefits include shorter production times, faster and more efficient work than human labor, and lower production costs.
How is the manufacturing industry’s market likely to upsurge in the future?
According to BCC Research, the global manufacturing and process control market is expected to grow at a CAGR of 6.3 percent from $86.7 billion in 2020 to $117.7 billion in 2025.
"name": "What is the future of manufacturing?",
"text": "Manufacturers should start using AI, block chains, and robotics today. The combination of these new technologies will reshape manufacturing. A new workforce capable of augmenting these technologies is developing and will become the future of manufacturing."
"name": "How will automation affect manufacturing in 2022?",
"text": "When applied properly, automation can greatly assist manufacturing. These benefits include shorter production times, faster and more efficient work than human labor, and lower production costs."
"name": "How is the manufacturing industry’s market likely to upsurge in the future?",
"text": "According to BCC Research, the global manufacturing and process control market is expected to grow at a CAGR of 6.3 percent from $86.7 billion in 2020 to $117.7 billion in 2025."