“Bargain” materials can result in subpar outputs.
We’ve covered understencil cleaning topics in this column many times. Admittedly, if the stencil printing process were perfect, understencil cleaning wouldn’t be required. But it is not an ideal world; we have board stretch, interspace challenges, and the compromise of printing speeds versus pressures to achieve balanced aperture filling.
Here is the basis for some of these challenges: If all the apertures were identical, the filling process (print speed/print pressure) could be optimized around one architecture. But, with the reality of different aperture shapes and sizes, the filling process must have a middle ground. The larger apertures fill more efficiently; thus, the filling process can deliver slightly too much fill on certain apertures, causing excessive material which may lead to solder paste bridging.
Conversely, the smaller apertures have a lower filling efficiency and, under the same speed and pressure setting, can be starved of solder paste, causing an insufficient fill. Insufficient deposited material can also result from an aperture with a low/tight associated area ratio. A low area ratio aperture has a lower transfer efficiency, which means that some of the material may remain in the aperture after filling. Eventually, this unreleased material can block the aperture, requiring understencil cleaning.
And will capital equipment makers stay put, relocate or – shudder! – exit the business?
In many ways, the past three years have seemed very much like a dream, with life shifting from normal to masked panic and social distancing, to light at the end of the tunnel, to where we mostly appear to be now: back to normal! But while most faces are uncovered, businesses have taken down Plexiglas separating cashier from customer, and retail floors have only a few faded "stand here" decals visible on the floors, not all is truly back to normal.
Geopolitical strains have developed in Asia and an unprovoked war is taking place in Europe. Both series of events – combined with the pandemic – put unprecedented strains on a global supply chain that for decades relied upon political stability and free access to countries around the globe. While the pandemic focused most of us on the here and now, it also caused companies – and countries – to pivot on where and how they source product.
Can your preferred choice be dropped in?
Let’s set the scene. You have been using the same vapor degreasing fluid to successfully clean complex circuitry and printed circuit boards (PCBs) for years, only to learn that your trusted line of cleaning fluids will soon be discontinued. What do you do? How do you choose a replacement that meets the PCB cleaning challenges that you and many other fabricators face?
Bluster, manipulation and gaslighting – all in a week’s work.
“... 90 percent of the startups founded by dweeby young men in San Francisco are simply trying to answer the question: ‘What things isn’t my mom doing for me any more?’ Creating a frictionless future seems to mean launching speedy meal delivery, dog walking, and laundry apps. ‘There is a tendency in Silicon Valley to want to be revolutionary without, you know, revolutionizing everything ...’ Too many moonshots are still sputtering on the launch pad. It is not yet clear that innovations such as social media, cryptocurrencies, or the metaverse yet represent any net positive for humanity. As skeptical economists never tire of pointing out, the digital revolution has so far had little quantifiable effect in lifting productivity.”
– John Thornhill, Financial Times
“Money talks, but it doesn’t tell the truth.”
“Time heals all wounds, right up to the moment that it kills you.”
– Herbie Cohen
And still they come.
MES upgrades capture kanban inventory levels, allowing electronic replenishment pulls.
The visual factory has come a long way since the concept was introduced, moving from production status viewable by walking the factory floor to a comprehensive collection of real-time data viewable from any interconnected computer. That evolution isn't seamless for many electronics manufacturing services (EMS) providers, however. While newer equipment platforms are designed to integrate with manufacturing execution systems (MES) easily, legacy equipment platforms may require specialized programming or other workarounds to achieve desired interoperability. Equipment communication incompatibilities often lead to multiple shop floor control systems being utilized among work areas, which is inherently inefficient.
SigmaTron International's Chihuahua, Mexico, facility recently dealt with these issues when the facility began transitioning to the company's proprietary Tango MES. The company's corporate IT and operations teams have worked together to define enhanced shop floor capabilities in production and are upgrading system capabilities across facilities. The challenge for facilities implementing the latest enhancements is creating efficient equipment interfaces and integrating or replacing legacy processes.
AI could be the key to understanding the data collected by the IoT.
Big data is useless and all the sensors in the world are not enough. Contentious? Maybe. I've talked in the past about the prospects for digitizing the world and it's true that we have many of the ingredients to make this happen: tiny, low-power sensors including optical and MEMS inertial sensors that provide contextual awareness; connectivity technologies for almost every practical and budgetary constraint; low-cost processing power and mass storage.
We're well on the way to seeing almost 30 billion devices connected to the IoT in the next couple of years, and there is no practical limit to this. We have enough IPv6 addresses to cover the earth's surface many times over with smart "things." We can easily collect the data we need to digitize the world.
The bigger challenge is to understand what that data are telling us and, from there, determine suitable responses. The sheer volume, velocity and variety of data we can now capture through IoT devices easily exceed the capacity of humans to analyze and extract meaningful insights manually. AI is the perfect companion to the IoT, capable of providing the assistance we need. Bringing them together as the AIoT is the key to tackling complex challenges such as sustainability. Studying the climate and humans' impact, the effects of using natural resources such as energy, and the prospects for controlling and managing these are subject to huge numbers of variables that are impossible for us to analyze effectively.