Multi filament inc case study

The solution was presented and discussed for various orientation angles. The Challenge Unifi Manufacturing trusts Minitab Statistical Software for the data analysis necessary to improve the false-twist texturing process they use to manufacture synthetic yarns.

With PLS, Unifi technicians also were able to identify outlier data sooner than they could when using classical linear regression. Minitab also made it possible for technicians to quickly update new production data based upon process adjustments, and then view the changes visually with graphs.

Minitab analysis of data collected at the Unifi spinning plant in Yadkinville, North Carolina, revealed that PLS analysis was the fastest and simplest method for generating accurate models, Multi filament inc case study was also the best of the three at remedying multicollinearity.

However, the models were not easy to obtain and were an expensive option due to the high number of variables involved and large amount of time Unifi quality technicians needed to invest. They found the solution in Minitab Statistical Software. Test specimens had four layers, which had various orientation angles.

Previous article in issue. Minitab allowed Unifi technicians to quickly update new production data based upon process adjustments, and then view those changes visually with graphs. The Tsai-Wu failure criterion, maximum strain and stress theories were applied for verifying the burst failure pressure of tubes.

Glass reinforced plastic GRP pipes were manufactured by E-glass—epoxy and tested for the closed-ended condition. The study deals with the influences of temperature and winding angle on filament wound composite pressure vessels. Unifi set out to find a more efficient, cost-effective approach for the data analysis needed to optimize the false-twist texturing process.

The other approaches required additional experimental work, which was much more expensive and time-intensive—and thus not feasible for everyday use.

Minitab Helps Unifi Put the Shirt on Your Back

Some analytical and experimental solutions were compared with the finite element solutions, in which commercial software ANSYS For this study, a PLC controlled hydraulic pressure testing machine has been utilized. These methods, including designed experiments, were used to build various types of causal models, which allowed technicians to predict yarn properties and select process parameters.

The time Unifi quality technicians spend completing experimental work to optimize the process has been dramatically reduced. The presence of highly correlated factors, known as "multicollinearity," often results in redundant measurements and reduced statistical efficiency.

Seeing how variable settings changed yarn properties made it easy to achieve the quality characteristics their customers need. Burst pressure of filament wound composite pressure vessels under alternating pure internal pressure was investigated.

This saved time and allowed technicians to catch and fix potential problems with the process much earlier than they had been able to do before using PLS.

The hygrothermal and other mechanical properties were measured on E-glass—epoxy composite flat layers. Finite element method and experimental approaches were employed to verify the optimum winding angles.

The improvements to the false-twist texturing process have not only made it easier for Unifi to provide customers with highly-customized yarns of the highest quality, but improvements have also helped keep costs low. To comply with guidelines surrounding manufacturing quality standards and the long-term storage of data, Unifi already collected and analyzed a vast amount of data for their false-twist texturing process.

Taking advantage of the large quantity of data the company already had available, they used Minitab to evaluate and compare models from three different methods—multiple linear regression, principal components analysis, and partial least squares PLS —to find which would work best for optimizing the false-twist texturing process.

Using this data, process optimization took place daily through multiple statistical methods.A unique multicolored WOOD PLA filament, print in wooden gradient colors! Create colorful wooden like 3D printed objects.

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One of the world’s largest processors of. Case Study: Unifi Manufacturing, Inc. Home Case Studies Unifi Manufacturing, Inc. North Carolina, is one of the country’s leading producers and processors of multi-filament polyester and nylon textured yarn.

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Multi filament inc case study
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