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Monday, June 30, 2014

Gauge R & R Study: Conducting the Study (Part 2 of 5)

The gauge study consists of several parts that are repeatedly measured by multiple appraisers. While the numbers can vary, most studies use 10 parts and three appraisers who measure the parts at least three times each.

The repeated measurements are called trials. Calculations are then made to determine the level of variation between the appraisers, parts and across the trials. It is not necessary to go into the actual calculations here since there are numerous software programs and templates available to assist operators. Instead, let's focus on how to perform a valid study and how to interpret the results.


Selecting part samples is perhaps the most critical step in performing a successful study--and probably the most misunderstood. Part samples used for gauge studies should represent the true variation of the production process. A common mistake is trying to select production samples that are similar. Some instructions for gauge studies even state that samples must be from the same batch.


The truth is that using products that do not represent the variation of the process will cause the gauge study results to be worthless. If necessary, operators may even select samples over a period of days or weeks to get samples that truly represent the process. Always remember that it is the measurement system that is being evaluated here, not the products.


Now it is time to start measuring. Here are a few guidelines for the measuring process:
  + The operators should share one calibrated gauge or measurement system.
  + Five or more samples that represent the range of the process variation should be used. Do not use one part or parts that have little variation.
  + Samples should be measured in random order if possible.
  + There should be at least two trials or measurements taken from each operator.

This series of blogs will include:
  • What does it measure?
  • Evaluating the Gauge Study: The TV Report
  • Evaluating the Gauge Study: The TT Report
  • Evaluating the Gauge Study: The Average and Mean Report
REFERENCE: Quality Magazine, Sept. 1, 2009

Thursday, June 26, 2014

Thank You, Rodger, for Your Service to our Country

Rodger has just recently retired from the National Guard and Reserves after 22 years of service in the US Military.  He was an Army Ranger for 4 years and then became a member of the Army Reserves after his active duty stint. Then after his time spent completing his Master's Degree at the University of Minnesota and working at BASF, he re-entered the Army Reserves as he started working at Technidyne in 2001.

Rodger is the US Sales Manager for Technidyne Corporation, and he directly handles activities in the Midwest and Northwest parts of the US.

The next time you see Rodger, thank him for his service to our country!

Monday, June 23, 2014

Gauge R & R Study: What does it evaluate? (Part 1 of 5)


Any quality professional worth his keep knows that gauge repeatability and reproducibility (R&R) studies are a critical part of a successful process control system, but it is amazing how many do not understand how to properly conduct a study or how to interpret the results.

Quality professionals know that measuring manufactured products is critical to maintaining the customer specification. They also know that measuring products is necessary for statistical process control systems designed to improve the manufacturing process itself. What is sometimes forgotten is that the data is only worthwhile if the measurement system itself is adequate.

A gauge R&R study will tell operators if the measurement system is acceptable for its intended use. The gauge study also shows which part of the measurement system is contributing the most to the variation of the measurements and helps operators plan improvements to the system.

Measurement systems contain variation from three main sources: the products themselves, the appraiser taking the measurements and the equipment used to perform the measurement. The gauge study shows the contribution of each of these areas.

In an adequate measurement system, one would expect to find most of the variation within the products. If the bulk of the variation is created by the appraisers or the equipment, then the system may not be suitable.  


This series of blogs will include:
  • Conducting a Study
  • Evaluating the Gauge Study: The TV Report
  • Evaluating the Gauge Study: The TT Report
  • Evaluating the Gauge Study: The Average and Mean Report
REFERENCE: Quality Magazine, Sept. 1, 2009

Thursday, June 19, 2014

Technidyne is a FINALIST for a 2014 Georing Center Family and Private Business Award

For the second year in a row, Technidyne Corporation is a Finalist for a Family Business Award.

Technidyne has been named a Finalist for a Family Business Award for Family Businesses in operation over 35 years through the Goering Center for Family & Private Business at the University of Cincinnati.  The Goering Center facilitates learning and progress of family businesses by hosting educational programs, expert presenters, best practices and research.  Topics include: business boards, leadership, succession planning and strategic planning to name a few.  All of these are geared toward Family and Privately-owned businesses.  Here is a calendar of events for the upcoming months.

Winners of this years awards will be recognized at the 15th Annual Tri-State Family & Private Business Awards, August 26, 2014 at the Cincinnati Music Hall.

In 2013, Technidyne Corporation was the recipient of the GLI Inc.credible Award for Global/International Small Business.

Monday, June 16, 2014

New Products Coming to Technidyne Customers

Technidyne has just completed an agreement with ACA SystemsTechnidyne will sell and service ACA equipment in North America.  Established in 1986 ACA is a private company specializing in coating runnability, online paper porosity and dust analyzers for the Paper and Nonwoven Industries.  They have installed over 300 analyzers in 30 countries over the last 14 years.

Permi: On-line Porosity Analyzer

DPA: On-line Dust Amount Analyzer

ACAV A2 & ACAV A4: Runnability analyzers for coating colors and pigment slurries

DWR: Dynamic Water Retention Analyzer

NEW - Handheld Roll Hardness Tester - This was released at the recent PulPaper Conference in Finland.  We will share more on this in the coming weeks.

Contact your local Technidyne sales and service representative for more information.

Thursday, June 12, 2014

Visiting Europe

Paul Crawford spent some time with some of our partners in Europe this last week.

PulPaper 2014
Paul attended the conference in Helsinki, Finland June 3-5.  The conference hosted 9,428 people from 72 countries, making it the most international PulPaper event ever. The exhibition floor hosted 453 exhibitors from 29 countries in 193 stands.

Emtec
Paul spent some time with our partners at Emtec Electronic GmbH in Leipzig, Germany this week. Technidyne is the sales and service partner for Emtec in the United States and Canada.  Likewise, Emtec sells and services Technidyne equipment in Germany, Austria, Switzerland and the Benelux countries.

We discussed the success of the Tissue Softness Analyzer (TSA) worldwide and the new products coming to the market soon: Ash Content Analyzer (ACA) and Fiber Potential Online (FPO)


Technidyne
Paul also discussed many of the new products coming to the market from Technidyne, including the FPAutoSpeck for stickies measurement and significant updates to many other instruments including the new Color Touch™ X.

Find the Technidyne Agent in your part of the world.

Wednesday, June 4, 2014

Visiting South Africa

Roger Ginter spent some time with our partners at POLY-TEST Instruments in Gauteng, South Africa on May 23-31, 2014. POLY-TEST sells and services Technidyne equipment in South Africa.  Roger visited three customers and assisted on routine maintenance of 6 Technidyne instruments.

POLY-TEST
The company's emphasis is on cost-effective quality in the manufacturing environment. In addition to supplying instrumentation and systems, the company also provides project management and a consultancy service backed by a fully equipped laboratory. Industries served include Metallurgy, Automotive, Plastics, Rubber and Textiles.  In addition to the suppliers represented, POLY-TEST also refurbishes instrumentation and machines for Civil Engineering (concrete, soil, bitumen) Materials Testing Machines and specialized laboratory and process instrumentation.

Technidyne
Roger also discussed many of the new products coming to the market from Technidyne, including the FPAutoSpeck for stickies measurement and significant updates to many other instruments including the new Color Touch™ X.

Find the Technidyne Agent in your part of the world.

Monday, June 2, 2014

How do you use whiteness measurement?

Whiteness is a single number quantity which is based on the entire visible spectrum.  Whiteness is a compromise between colorimetry and brightness measurement.  Colorimetry is a cumbersome but complete three dimensional description of whiteness, whereas brightness is simple to understand and convey but relates only to the blue portion of the visible spectrum. 

The most widely accepted whiteness calculation in the Paper Industry is the following formula which is defined in TAPPI, ISO, ASTM among others.



WI = Y + (WI, x)(xn - x) + (WI, y)(yn - y)

where:
Y, x, y                         = the luminance factor and the
                                       chromaticity coordinates of the
                                       specimen,
xn and yn                     = the chromaticity coordinates
                                       for the CIE standard illuminant
                                       and source used, and
WI, x and WI, y          = numerical coefficients.


Keep in mind that these equations should be used only for specimens with

     40 < WI < (5Y-280) and -4 < T < +2


where, T is the tint value that complements the whiteness calculation.

Some companies use whiteness measurement as a production specification and others use it in marketing. How do you use whiteness measurement?