Plasticization effect of lignin in some highly filled vinyl formulations
Why this work is in the frame
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Bibliographic record
Abstract
Abstract The present study evaluates the impact of partially replacing (vinyl chloride)‐(vinyl acetate) (VC‐VAc) copolymer with lignin (L) in a vinyl flooring formulation. Lignin is a natural polymer resulting in huge quantities from wood delignification in the pulp and paper industry. An organsolv lignin, Alcell lignin (AL), was utilized. Also examined is the impact of replacing the common diethylhexyl phthalate (DOP) with plasticizers having chemical compositions different from those of DOP, i.e., diethylene glycol dibenzoate (2–45), tricresyl phosphate (Lindol®), and phenol alkylsulphonic ester (Mesamoll®). The reason for using other plasticizers is the suspicion that during the service life of vinyl flooring, the attack of fungi and microorganisms leads to the degradation of DOP and to the release of some volatile organic compounds (VOC). For the same reason, in the new flooring formulations, the VC‐VAc copolymer was partially replaced with L. Besides its other functions in wood, L imparts resistance to the attack of most microorganisms. The efficiency in plasticizing AL was also taken into consideration in choosing the above‐mentioned plasticizers. The influence of the new plasticizers, their concentration, and the influence of the partial replacement of VC‐VAc copolymer with AL on the mechanical and thermal properties of the new formulations are discussed. Laboratory data indicated that at a level of 20 parts VC‐VAc copolymer reduction and 5 parts plasticizer reduction, some of the obtained VC‐VAc‐AL blends compare very favorably with VC‐VAc copolymer control plasticized with 35 phr of DOP, the formulation of choice in vinyl flooring materials. J. VINYL ADDIT. TECHNOL., 13:14–21, 2007. © 2007 Society of Plastics Engineers.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it