Québec Université Laval, Bibliothèque 2016

Regulatory fit (Higgins 2000) has, thus far, only been tested using regulatory focus theory (Cesario, Higgins, & Scholer, 2008); this study contributes to the current literature by testing the generality of the fit principle using goal orientation. I will test the effect of fit on corrective feedback utilization. I predict that experiencing regulatory fit between goal orientation and goal pursuit strategies will lead to: 1) higher behavioral utilization of feedback, and 2) feedback recall. Self-monitoring will be included as an exploratory variable to assess whether level of self-monitoring will affect the aforementioned outcomes. Results indicated that individuals experiencing regulatory fit between goal orientation and feedback framing exhibited greater variety and frequency of feedback recommended behaviors overall. No fit effects were found for feedback recall. Self-monitoring was not impacted by goal orientation or feedback framing. / Master of Science

Within this research, factors affecting the orientation of injection molded long fiber composites in an end-gated plaque were investigated. Matrix viscosity was found to have a small effect on fiber orientation. The impact matrix viscosity had on orientation was dependent on fiber loading. At lower fiber loadings, the higher viscosity material had a more asymmetric orientation profile throughout the samples and less of a shell-core-shell orientation. At higher fiber loadings, there were few differences in orientation due to matrix viscosity. Fiber concentration was found to have a larger influence on fiber orientation than matrix viscosity. Increased fiber concentration led to a lower degree of flow alignment and a broader core region at all locations examined, following the trend previously reported for short fiber composites. The orientations of three different fiber length distributions of glass fiber (GF) were compared. The longer fibers in the fiber length distribution were shown to have a disproportionate effect on orientation, with weight average aspect ratio being better than number average aspect ratio at indicating if the GF and CF samples orientated comparably. To improve properties transverse to the main flow direction, the super critical carbon dioxide aided deagglomeration of multi-walled carbon nanotubes (CNTs) was used to create injection molded multiscale composites with CNT, CF, and polypropylene. The addition of CNTs greatly improved the tensile and electrical properties of the composites compared to those without CNTs. The degree of improvement from adding CNTs was found to be dependent on CF concentration, indicating that the CNTs were most likely interacting with the CF and not the polymer. A CNT concentration of 1 wt% with a tenfold degree of expansion at 40 wt% CF proved to be optimum. A large improvement in the tensile properties transverse to the flow direction was found implying that the CNTs were not highly flow aligned. Tensile and electrical properties began to fall off at higher CNT loadings and degrees of expansion indicating the importance of obtaining a good dispersion of CNTs in the part. / Ph. D.

This work is concerned with determining empirical parameters in stress and fiber orientation models required to accurately simulate the fiber orientation in injection molded composites. An independent approach aims to obtain the material parameters using a sliding plate rheometer to measure the rheology of fiber suspensions at increased fiber lengths subjected to transient shear flow. Fiber orientation was measured in conjunction with shear stress to determine the relationship between stress and fiber orientation. Using a compression molding sample preparation procedure, the transient shear stress response was measured for glass and carbon fiber suspensions up to a number average fiber aspect ratio (length/diameter) of 100. Increases in concentration or fiber aspect ratio caused the magnitude of the stress response to increase by as much as an order of magnitude when compared to the suspending matrix. The degree of shear thinning at low shear rates also increased with increases in aspect ratio and concentration. The compression molding sample preparation procedure provided poor control of the initial fiber orientation which led to the investigation of samples subjected to flow reversal and samples generated through injection molding. The samples prepared through injection molding provided improved repeatability in the measured shear stress response and fiber orientation evolution during the startup of flow compared to compression molded samples and samples subjected to flow reversal. From repeatable stress and orientation evolution data, models for stress and fiber orientation were assessed independently. Current theories for stress were unable to reflect the overshoot in the measured stress response and could at best capture the steady state. The transient behavior of the fiber orientation models were found to be highly dependent on the initial fiber orientation. The repeatable orientation data obtained from the injection molding sample preparation procedure provided material parameters in the strain reduction factor and reduced strain closure models. The injection molded samples provided evolution data from different initial fiber orientations to provide further scrutiny or validation of the material parameters. Orientation model parameters that provided reasonable agreement to multiple sets of fiber evolution data in simple shear flow should allow for a better assessment of the orientation models in complex flow simulations. / Ph. D.

The design of fiber-reinforced thermoplastic (FRT) parts is hindered by the determination of the various empirical parameters associated with the fiber orientation models. A method for obtaining these parameters independent of processing doesn't exist. The work presented here continues efforts to develop a rheological test that can obtain robust orientation model parameters, either by fitting directly to orientation data or by fitting to stress-growth data. First, orientation evolution in a 10 wt% long-glass-fiber-reinforced polypropylene during two homogeneous flows (startup of shear and planar extension) was compared. This comparison had not been performed in the literature previously, and revealed that fiber orientation is significantly faster during planar extension. This contradicts a long-held assumption in the field that orientation dynamics were independent of the type of flow. In other words, shear and extension were assumed to have equal influence on the orientation dynamics. A non-lubricated squeeze flow test was subsequently implemented on 30 wt% short-glass-fiber-reinforced polypropylene. An analytical solution was developed for the Newtonian case along the lateral centerline of the sample to demonstrate that the flow is indeed a superposition of shear and extension. Furthermore, an existing fiber orientation model was fit to the gap-wise orientation profile, demonstrating that NLSF can, in principle, be used to obtain fiber orientation model parameters. Finally, model parameters obtained for the same FRT by fitting to orientation data from startup of steady shear are shown to be inadequate in predicting the gap-wise orientation profile from NLSF. This work is rounded out with a comparison of the fiber orientation dynamics during startup of shear and non-lubricated squeeze flow using a long-fiber-reinforced polypropylene. Three fiber concentrations (30, 40, and 50 wt%) were used to gauge the influence of fiber concentration on the orientation dynamics. The results suggest that the initial fiber orientation state (initially perpendicular to the flow direction and in the plane parallel to the sample thickness) and the fiber concentration interact to slow down the fiber orientation dynamics during startup of shear when compared to the dynamics starting from a planar random initial state, particularly for the 40 and 50 wt% samples. However, the orientation dynamics during non-lubricated squeeze flow for the same material and initial orientation state were not influenced by fiber concentration. Existing orientation models do not account for the initial-state-dependence and concentration-dependence in a rigorous way. Instead, different fitting parameters must be used for different initial states and concentrations, which suggests that the orientation models do not accurately capture the underlying physics of fiber orientation in FRTs. / Ph. D. / In order to keep pace with government fuel economy legislation, the automotive and aerospace industries have adopted a strategy they call “lightweighting”. This refers to decreasing the overall weight of a car, truck, or plane by replacing dense materials with less-dense substitutes. For example, a steel engine bracket in a car could be replaced with a high-temperature plastic reinforced with carbon fiber. This composite material will be lighter in weight than the comparable steel component, but maintains its structural integrity. Thermoplastics reinforced with some kind of fiber, typically carbon or glass, have proven to be extremely useful in meeting the demands of lightweighting. Thermoplastics are materials that can be melted from a feedstock (typically pellets), reshaped in the melted state through use of a mold, and then cooled to a solid state, and some common commodity-grade thermoplastics include polypropylene (used for Ziploc bags) and polyamides (commonly called Nylon and used in clothing). Although these commodity applications are not known for their strength, the fiber reinforcement in the automotive applications significantly improves the structural integrity of the thermoplastics. The ability to melt and reshape thermoplastics make them incredibly useful for highthroughput processes such as injection molding. Injection molding takes the pellets and conveys them through a heated barrel using a rotating screw. The melted thermoplastic gathers at the tip of the barrel, and when a set volume is gathered, the screw is rammed forward to inject the thermoplastic into a closed mold of the desired shape. This process typically takes between 30-60 seconds per injection. This rate of production is crucial for the automotive industry, as manufacturers need to put out thousands of parts in a short period of time. The improvement to mechanical properties of the thermoplastics is strongly influenced by the orientation of the reinforcing fibers. Although design equations connecting the part’s mechanical properties to the orientation of the fibers do exist, they require knowledge of the orientation of the fibers throughout the part. Fibers in injection-molded parts have an extremely complicated orientation v state. Measuring the orientation state at each point would be too laborious, so empirical models tying the flow of the thermoplastic through the mold to the evolving orientation state of the fibers have been developed to predict the orientation state in the final part. These predictions can be used in lieu of direct measurements in the part design equations. However, the orientation models rely on empirical fitting parameters which must be obtained before injection molding simulations are performed. There is currently no standard test for obtaining these parameters, nor is there a standardized look-up table. The work presented in this dissertation continues efforts to establish such a test using simple flows in a laboratory setting, independent of injection molding. Previous work focused exclusively on using shearing flow (e.g. pressure-driven flow found in injection molding) to obtain these parameters. However, when these parameters were used in simulations of injection molding, the agreement between measured and predicted fiber orientation was mediocre. The work here demonstrates that another type of flow, namely extensional flow, must also be considered, as it has a non-negligible influence on fiber orientation. this is crucial to injection molding, as injection molding flows have elements of both shearing and extensional flow. The first major contribution from this dissertation demonstrates that extensional flow (e.g. stretching a film) has a much stronger influence than shearing flow, even at the same overall rate of deformation. The second major contribution used a combination shear/extensional flow to demonstrate that the empirical model parameters, thought to be characteristic of the composite, are actually strongly influenced by the type of flow experienced by the sample, and that no single set of model parameters can fit the full orientation state. The final major contribution extends the previous case to long-fiber reinforcement at multiple fiber concentrations which are of industrial interest. This finds the same results, that the model parameters are dependent on the type of flow experienced by the sample. The flow-dependence of the parameters is a crucial point to address in future work, as the flows found in injection molding contain both shearing and extensional flow. By further developing this flow-type dependence, future injection molding simulations should become more accurate, and this will make computer-aided injection-molded part design much more efficient.

An enhanced demand for lightweight materials in automotive applications has resulted in the growth of the use of injection molded discontinuous fiber-reinforced thermoplastics. During the intensive injection molding process, severe fiber breakage arises in the plasticating stage leading to a broad fiber length distribution. Fiber orientation distribution (FOD) is another highly anisotropic feature of the final injection molded parts induced by the mold filling process. The mechanical and other properties can be highly dependent on the fiber length distribution and fiber orientation distribution. The residual fiber length in the final part is of great significance determining the mechanical performances of injection molded discontinuous fiber reinforced thermoplastic composites. One goal of this research is to develop a fiber length characterization method with reproducible sampling procedure in a timely manner is described. In this work is also proposed an automatic fiber length measurement algorithm supported by Matlab®. The accuracy of this automatic algorithm is evaluated by comparing the measured results using this in-house developed tool with the manual measurement and good agreement between the two methods is observed. Accurate predictions of fiber orientation are also important for the improvement of mold design and processing parameters to optimize mechanical performances of fiber-reinforced thermoplastics. In various fiber orientation models, a strain reduction factor is usually applied to match the slower fiber orientation evolution observed experimentally. In this research, a variable strain reduction factor is determined locally by the corresponding local flow-type and used in fiber orientation simulation. The application of the variable strain reduction factor in fiber orientation simulations for both non-lubricated squeeze flow and injection molded center-gated disk, allows the simulated fiber re-orient rate to be dependent on the local flow-type. This empirical variable strain reduction factor might help to improve the fiber orientation predictions especially in complex flow, because it can reflect the different rates at which fibers orient during different flow conditions. Finally, the stiffness of injection-molded long-fiber thermoplastics is investigated by micro-mechanical methods: the Halpin-Tsai (HT) model and the Mori-Tanaka model based on Eshelby's equivalent inclusion (EMT). We proposed an empirical model to evaluate the effective fibers aspect ratio in the computation for the fiber bundles under high fiber content in the as-formed fiber composites. After the correction, the analytical predictions had good agreement with the experimental stiffness values from tensile tests on the composites. Our analysis shows that it is essential to incorporate the effect of the presence of fiber bundles to accurately predict the composite properties. / PHD / An enhanced demand for lightweight materials in automotive applications has resulted in the growth of the use of injection molded discontinuous fiber-reinforced thermoplastics. The injection molding process results in fiber length and fiber orientation distributions in the final parts. The mechanical and other properties can be highly dependent on the fiber length distribution and fiber orientation distribution. This work focuses on the process-structure-property relationship of fiber-thermoplastic composites. A novel fiber length measurement procedure and an automatic fiber length measurement tool were developed to improve the accuracy of fiber length measurement. The existing fiber orientation models have been improved by integration of the flow-type dependent fiber orientation kinetics. To improve the stiffness predictions, an empirical model has been developed to include the effects of fiber clumping on the elastic properties of injection molded fiber composites.

Very little empirical evidence exists linking the motivational traits portion of the motivational traits and skills framework to goal setting processes. The present study explored relationships between motivational traits, task-specific self-efficacy and self-set goal level during a computer-based task. Along with direct assessment of these relationships, we assessed whether task-specific self-efficacy mediates relationships between motivational traits and self-set goal level. In the current study, we also examined the ability of motivational traits to provide an increment in the prediction of motivational outcomes over currently accepted goal orientation constructs. Analyses suggest that the motivational traits personal mastery and motivation related to anxiety are consistent predictors of task-specific self-efficacy but inconsistent predictors of self-set goal level while competitive excellence entirely unrelated to motivational outcomes. Motivational traits failed to provide any significant increment in the prediction of task-specific self-efficacy over respective goal orientation constructs. Implications and future directions are discussed. / Master of Science

Despite the growing popularity of goal orientation research, three questions remain largely unanswered: (1) are there 3 factors of goal orientation or only 2; (2) what predicts goal orientation; and (3) is goal orientation domain specific? To help answer these questions, 177 undergraduates were given a questionnaire assessing, in both the academic and athletic domains, (a) learning, prove, and avoid goals, (b) self-perceived ability, ability, and implicit theories, and (c) high-school grade point average, intrinsic motivation, internal motivation, self-efficacy, locus of control, need for achievement, desire to win, and fear of negative evaluation. The results suggest that learning, prove, and avoid goals can be empirically distinguished, that they are domain specific, but that they are not predicted well by ability, self-perceived ability, or implicit theories. Discussion centers on the need for a pattern approach to the prediction of goal orientation and stresses the importance of examining the interactions among learning, prove, and avoid goals. The overriding conclusion, however, is that goal orientation is not a useful construct. / Master of Science

Despite successful learning in the training environment, acquired skills are often not translated back to the job. Past research on training transfer has tended to measure the construct inconsistently and often disregarded its multi-faceted nature. In an effort to better investigate the determinants of successful transfer, the two temporal facets of training transfer, initiation and maintenance, were examined to evaluate their relationships with the trainee characteristics of goal orientation and self-efficacy. It was hypothesized that initiation mediates the relationship between goal orientation and maintenance, and that the relationship between performance goal orientation and initiation is moderated by self-efficacy. Participants were recruited from undergraduate psychology courses and trained on multiple-choice test-taking strategies. Results failed to support the main effect, moderation, or mediation hypotheses, although they support the contention that transfer is a multi-dimensional construct. The findings indicate that goal orientation and initiation may both best be conceived as predictors of transfer maintenance and interact to affect transfer behavior. The findings illustrate the value of examining individual difference variables in the prediction of training transfer. / Master of Science

No / This article describes the development and validation of a measure of a firm's organizational learning orientation and considers the relationships between this and firm performance. The measure assesses owner-managers¿ perceptions of their organizations¿ orientation to learning in terms of higherorder (active) and lower-order (passive) levels of learning. Its development is a response to the criticisms that organizational learning research is beset by a paucity of valid and reliable measures to assess the ways in which organizations engage in learning at the collective level (Tsang, 1997). Data are presented from a number of samples of small- and medium-sized enterprises in the UK that indicate that the organizational learning orientation measure exhibits acceptable reliability and validity. Furthermore, a number of relationships between organizational learning and financial and non-financial performance were observed. The implications of the findings for research, policy and the management of learning within organizations are discussed.