Your monthly listing is here! Check out our events, workshops and webinars.
At all TAPPI face-to-face events, we will implement the health and safety practices as issued by state and local authorities including the venue and the CDC. We recommend that you are fully vaccinated for COVID-19 or have a negative test within 3 days of attending an event. We will require face coverings while indoors and maintain social distancing when possible. We will continue to provide updates on any changes as they become available.
Yankee Dryer Safety and Reliability Committee Meeting – Co-located with TAPPICon, Charlotte, N.C.
Wednesday, May 04th to Thursday, May 05th
A Zoom link will be sent for those wishing to attend virtually.
An active group of yankee dryer owner/users and service providers who have engaged to reduce delay that causes low productivity and negatively impacts dryer safety and overall business results. The committee's goal is to develop standard practices and visual standards for problems which cause drying system delay and compromise safety across the tissue industry.
For more info click here. Don’t forget to register today.
Work Management Planning & Scheduling – In-Person and Online Training
Tuesday, May 17th to Thursday, May 19th
This course gives you practice in how to perform the essential functions of this work management process. You'll learn how to:
For more info click here. Don’t forget to register today.
Tissue 202: Converting Operations Course – Green Bay, Wisconsin
Tuesday, May 24th to Wednesday, May 25th | Course Schedule |
TAPPI's Tissue 202: Converting Operations Course instructors will focus on roll products and have designed this course to address two primary objectives:
For more info click here. Don’t forget to register today.
How Deep Learning is Used to Determine Woodyard Chip Size – Webinar (Free)
Thursday, May 19th | 2:00 PM – 3:00 PM ET |
The greatest expense to fully integrated papermills are the raw material wood chips that make up the slurry that later becomes paper on the reel of the machine. Random and off-line sampling of the chips provides less than .001% classification of the material. Chips that are off specification in size, wrong species or contaminated with bark and other foreign matter can greatly impact the subsequent paper making process. Additionally, vendors or internal suppliers that sell or provide these chips to the mill cannot be held to any penalty or feedback loop for supplying chips outside set quality standards. This paper discusses how camera-based imaging with deep learning (artificial intelligence) is used to provide real-time classification of wood chip thickness on the conveyer line. Results are reviewed from a mill installation utilizing a multiple bin chip thickness distribution.
For more info click here. Don’t forget to register today.
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