In this work, the results of six months of work as an intern in Procter & Gamble's Global Innovation Center in Schwalbach am Taunus are presented. The work took place in four main phases: -Onboarding phase: Problem understanding and statement, identification of the involved variables, proposal of a conceptual approach. -Material collection and testing: Collection of a variety of laminated and extruded materials commonly used for hair care products packaging tubes manufacturing; mechanical testing of such materials (sample preparation, test method development, test execution, data quality analysis). -Tubes key performance feature identification and tubes preparation and testing: Identification of the performance feature on which to focus to implement the modelling approach. Denting of the tubes was identified as a relevant aspect, which, within the time at my disposal, could be studied and modelled in a technically robust way. Sample preparation, denting test method development, test execution, and data quality analysis were then performed. -Model development and validation: Multivariate modelling techniques are used to identify the key mechanical properties impacting the denting performance and to correlate such properties to the phenomenon in a quantitative manner. In this way, a predictive model for determining the potential of a new laminate material in terms of denting performance (without manufacturing the actual tube) is developed. It is important to observe that such an approach can be reapplied for predicting different key performance features (taking care of the specificities of each case). These models ease the packaging prototyping efforts, reducing costs and saving time; furthermore, as a proposal for future developments, these models could be reversed, in order to identify novel materials displaying the best possible set of performance features for packaging tube production.

In this work, the results of six months of work as an intern in Procter & Gamble's Global Innovation Center in Schwalbach am Taunus are presented. The work took place in four main phases: -Onboarding phase: Problem understanding and statement, identification of the involved variables, proposal of a conceptual approach. -Material collection and testing: Collection of a variety of laminated and extruded materials commonly used for hair care products packaging tubes manufacturing; mechanical testing of such materials (sample preparation, test method development, test execution, data quality analysis). -Tubes key performance feature identification and tubes preparation and testing: Identification of the performance feature on which to focus to implement the modelling approach. Denting of the tubes was identified as a relevant aspect, which, within the time at my disposal, could be studied and modelled in a technically robust way. Sample preparation, denting test method development, test execution, and data quality analysis were then performed. -Model development and validation: Multivariate modelling techniques are used to identify the key mechanical properties impacting the denting performance and to correlate such properties to the phenomenon in a quantitative manner. In this way, a predictive model for determining the potential of a new laminate material in terms of denting performance (without manufacturing the actual tube) is developed. It is important to observe that such an approach can be reapplied for predicting different key performance features (taking care of the specificities of each case). These models ease the packaging prototyping efforts, reducing costs and saving time; furthermore, as a proposal for future developments, these models could be reversed, in order to identify novel materials displaying the best possible set of performance features for packaging tube production.

Predicting key performance features of packaging tubes from the mechanical properties of the constituent material through multivariate statistical modelling

LANDO, ALBERTO
2021/2022

Abstract

In this work, the results of six months of work as an intern in Procter & Gamble's Global Innovation Center in Schwalbach am Taunus are presented. The work took place in four main phases: -Onboarding phase: Problem understanding and statement, identification of the involved variables, proposal of a conceptual approach. -Material collection and testing: Collection of a variety of laminated and extruded materials commonly used for hair care products packaging tubes manufacturing; mechanical testing of such materials (sample preparation, test method development, test execution, data quality analysis). -Tubes key performance feature identification and tubes preparation and testing: Identification of the performance feature on which to focus to implement the modelling approach. Denting of the tubes was identified as a relevant aspect, which, within the time at my disposal, could be studied and modelled in a technically robust way. Sample preparation, denting test method development, test execution, and data quality analysis were then performed. -Model development and validation: Multivariate modelling techniques are used to identify the key mechanical properties impacting the denting performance and to correlate such properties to the phenomenon in a quantitative manner. In this way, a predictive model for determining the potential of a new laminate material in terms of denting performance (without manufacturing the actual tube) is developed. It is important to observe that such an approach can be reapplied for predicting different key performance features (taking care of the specificities of each case). These models ease the packaging prototyping efforts, reducing costs and saving time; furthermore, as a proposal for future developments, these models could be reversed, in order to identify novel materials displaying the best possible set of performance features for packaging tube production.
2021
Predicting key performance features of packaging tubes from the mechanical properties of the constituent material through multivariate statistical modelling
In this work, the results of six months of work as an intern in Procter & Gamble's Global Innovation Center in Schwalbach am Taunus are presented. The work took place in four main phases: -Onboarding phase: Problem understanding and statement, identification of the involved variables, proposal of a conceptual approach. -Material collection and testing: Collection of a variety of laminated and extruded materials commonly used for hair care products packaging tubes manufacturing; mechanical testing of such materials (sample preparation, test method development, test execution, data quality analysis). -Tubes key performance feature identification and tubes preparation and testing: Identification of the performance feature on which to focus to implement the modelling approach. Denting of the tubes was identified as a relevant aspect, which, within the time at my disposal, could be studied and modelled in a technically robust way. Sample preparation, denting test method development, test execution, and data quality analysis were then performed. -Model development and validation: Multivariate modelling techniques are used to identify the key mechanical properties impacting the denting performance and to correlate such properties to the phenomenon in a quantitative manner. In this way, a predictive model for determining the potential of a new laminate material in terms of denting performance (without manufacturing the actual tube) is developed. It is important to observe that such an approach can be reapplied for predicting different key performance features (taking care of the specificities of each case). These models ease the packaging prototyping efforts, reducing costs and saving time; furthermore, as a proposal for future developments, these models could be reversed, in order to identify novel materials displaying the best possible set of performance features for packaging tube production.
Polimeric tubes
Hair care packaging
Multivariate model
Predictive model
Mechanical property
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12608/41844