Computational Modeling of the Pulling Force in a Conventional Pultrusion Process

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.772.399 ◽

2013 ◽

Vol 772 ◽

pp. 399-406 ◽

Cited By ~ 4

Author(s):

Pierpaolo Carlone ◽

Gaetano S. Palazzo

Keyword(s):

Computational Modeling ◽

Viscous Drag ◽

Force Model ◽

High Productivity ◽

Pultrusion Process ◽

Pulling Force ◽

Frictional Effects

Pultrusion process is gaining increasing attention in several sectors, due to the high productivity and quality achievable. Recent researches highlighted the influence of the pulling force on the quality of pultruded products. In this paper a pulling force model, accounting for compacting, viscous, and frictional effects in a conventional pultrusion process has been implemented. The model is based on the combination of an impregnation, a thermochemical, and a frictional sub-models. Obtained outcomes evidenced, for the considered case,adominant role of the viscous drag.

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Anatomy of a Psychological Theory: Integrating Construct-Validation and Computational-Modeling Methods to Advance Theorizing

Perspectives on Psychological Science ◽

10.1177/1745691620966794 ◽

2021 ◽

pp. 174569162096679

Author(s):

Ivan Grahek ◽

Mark Schaller ◽

Jennifer L. Tackett

Keyword(s):

Computational Modeling ◽

Construct Validation ◽

Theory Development ◽

Psychological Theory ◽

Modeling Methods ◽

Psychological Theories ◽

Development Processes ◽

Convergence And Divergence

Discussions about the replicability of psychological studies have primarily focused on improving research methods and practices, with less attention paid to the role of well-specified theories in facilitating the production of reliable empirical results. The field is currently in need of clearly articulated steps to theory specification and development, particularly regarding frameworks that may generalize across different fields of psychology. Here we focus on two approaches to theory specification and development that are typically associated with distinct research traditions: computational modeling and construct validation. We outline the points of convergence and divergence between them to illuminate the anatomy of a scientific theory in psychology—what a well-specified theory should contain and how it should be interrogated and revised through iterative theory-development processes. We propose how these two approaches can be used in complementary ways to increase the quality of explanations and the precision of predictions offered by psychological theories.

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Anatomy of a Psychological Theory: Integrating Construct Validation and Computational Modeling Methods to Advance Theorizing

10.31234/osf.io/kx5hj ◽

2021 ◽

Author(s):

Ivan Grahek ◽

Mark Schaller ◽

Jennifer L Tackett

Keyword(s):

Computational Modeling ◽

Construct Validation ◽

Theory Development ◽

Psychological Theory ◽

Modeling Methods ◽

Psychological Theories ◽

Development Processes ◽

Convergence And Divergence

Discussions about replicability of psychological studies have primarily focused on improving research methods and practices, with less attention paid to the role of well-specified theories in facilitating the production of reliable empirical results. The field is currently in need of clearly articulated steps to theory specification and development, particularly regarding frameworks that may generalize across different fields of psychology. Here we focus on two approaches to theory specification and development which are typically associated with distinct research traditions: computational modeling and construct validation. We outline the points of convergence and divergence between them to illuminate the anatomy of a scientific theory in psychology - what a well specified theory should contain and how it should be interrogated and revised through iterative theory development processes. We propose how these two approaches can be used in complementary ways to increase the quality of explanations and the precision of predictions offered by psychological theories.

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Cognitive Health Counseling 40+

Zeitschrift für Gesundheitspsychologie ◽

10.1026/0943-8149/a000085 ◽

2013 ◽

Vol 21 (1) ◽

pp. 24-33 ◽

Cited By ~ 1

Author(s):

Anne Eschen ◽

Franzisca Zehnder ◽

Mike Martin

Keyword(s):

Outcome Variable ◽

Pilot Phase ◽

Subjective Memory ◽

Cognitive Health ◽

Health Counseling ◽

Agents Of Change ◽

Main Outcome Variable ◽

Further Development

This article introduces Cognitive Health Counseling 40+ (CH.CO40+), an individualized intervention that is conceptually based on the orchestration model of quality-of-life management ( Martin & Kliegel, 2010 ) and aims at improving satisfaction with cognitive health in adults aged 40 years and older. We describe the theoretically deduced characteristics of CH.CO40+, its target group, its multifactorial nature, its individualization, the application of subjective and objective measures, the role of participants as agents of change, and the rationale for choosing participants’ satisfaction with their cognitive health as main outcome variable. A pilot phase with 15 middle-aged and six older adults suggests that CH.CO40+ attracts, and may be particularly suitable for, subjective memory complainers. Implications of the pilot data for the further development of the intervention are discussed.

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