A simplified programming interface and real-time system
simulation allow the Kollmorgen Automation
Suite (KAS) software package to speed development and commissioning for the
jumbo roll collator from Jakob Graphic Services GmbH.
KAS is rooted in the company's Pipe Network programming language. It is a scalable system with
a standardized development platform that directly links HMI, PLC and Motion
Control in a common development and software environment. The integrated
development tools include a complete set of IEC 61131-3 language editors: sequential
function chart (SFC), function block diagram (FDB), ladder diagram (LD), structured text (ST) and
instruction list (IL); a common program
compiler; an offline Motion PLC program simulator, and a HMI development tool. This
all-in-one solution reduces programming and commissioning time.
KAS functions allow the machine developer to quickly
assemble the program and achieve the performance output in a system-supported
visual project engineering environment. Programming in KAS is simply describing
the mechanical relationships between components with the aid of graphical
description blocks. An extensive motion library is available for the graphical
Pipe Network editor to complete this task. All the machine's internal processes
can be simulated to determine the optimum settings and eliminate problems prior
to commissioning, with the results loaded directly into the control system.
offers a reduced cabinet size with
all-in-one IPC module, a total application development time of one week and 200m/min (+30 percent) machine throughput, depending on the type of cut. Kollmorgen
high-performance AKM servomotors and precision gear boxes eliminate the need to
change the cylinders and gearwheels used for cross cutting or perforating
various paper formats.
Truchard will be presented the award at the 2014 Golden Mousetrap Awards ceremony during the co-located events Pacific Design & Manufacturing, MD&M West, WestPack, PLASTEC West, Electronics West, ATX West, and AeroCon.
In a bid to boost the viability of lithium-based electric car batteries, a team at Lawrence Berkeley National Laboratory has developed a chemistry that could possibly double an EV’s driving range while cutting its battery cost in half.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.