Fiber-dependent injection molding simulation of discontinuous reinforced polymers

Fiber-dependent injection molding simulation of discontinuous reinforced polymers
Author: Wittemann, Florian
Publisher: KIT Scientific Publishing
Total Pages: 180
Release: 2022-11-18
Genre: Technology & Engineering
ISBN: 3731512173

This work presents novel simulation techniques for injection molding of fiber reinforced polymers. These include approaches for anisotropic flow modeling, hydrodynamic forces from fluid on fibers, contact forces between fibers, a novel fiber breakage modeling approach and anisotropic warpage analysis. Due to the coupling of fiber breakage and anisotropic flow modeling, the fiber breakage directly influences the modeled cavity pressure, which is validated with experimental data.

Flow Molding of Discontinuous Fiber Reinforced Plastics

Flow Molding of Discontinuous Fiber Reinforced Plastics
Author: L. A. Goettler
Publisher:
Total Pages: 127
Release: 1969
Genre:
ISBN:

The report presents a literature survey which covers aspects of molding and rheology pertinent to the flow molding of plastics containing elongated fillers, e.g. fibers or whiskers. Emphasis is placed on filler orientation, flow behavior, and breakage. The molding literature does not present a scientific approach to the investigation of these phenomena, and reported observations are not quantitative and are not interpreted in the light of current rehological developments. A specific program is recommended for the study of fiber orientation and placement in the molding of simple shapes. (Author).

Molding Simulation: Theory and Practice

Molding Simulation: Theory and Practice
Author: Maw-Ling Wang
Publisher: Carl Hanser Verlag GmbH Co KG
Total Pages: 624
Release: 2022-06-07
Genre: Technology & Engineering
ISBN: 1569908850

This practical introductory guide to injection molding simulation is aimed at both practicing engineers and students. It will help the reader to innovate and improve part design and molding processes, essential for efficient manufacturing. A user-friendly, case-study-based approach is applied, enhanced by many illustrations in full color. The book is conceptually divided into three parts: Chapters 1–5 introduce the fundamentals of injection molding, and how molding simulation methodology is developed, especially focusing on the effects on molding quality from the rheological, thermodynamic, thermal, mechanical, and kinetic properties of plastics, as well as curing kinetics for thermoset plastics. Chapters 6–11 introduce CAE verification on injection molding including design guidelines of part, gating, runner, and cooling channel systems. Temperature control in hot runner systems, prediction and control of warpage, and fiber orientation are also discussed. Chapters 12–17 introduce research and development in innovative molding, illustrating how CAE is applied to advanced molding techniques, including co-/bi-injection molding, gas-/water-assisted injection molding, foam injection molding, powder injection molding, resin transfer molding (RTM), and integrated circuit (IC) packaging. The 2nd edition contains many updates, including elaboration of material measurement data, connection of Smart Design and Smart Manufacturing, demonstration of the flow-induced fiber orientation effect, implementations of material characterization methods on PU reactive foaming and RTM, studies of dispensing control and creeping behaviors effects on IC underfill process, and much more. Several CAE case study exercises for execution in Moldex3D software are included to allow readers to practice what they have learned and test their understanding.

Probabilistic Prediction of Energy Demand and Driving Range for Electric Vehicles with Federated Learning

Probabilistic Prediction of Energy Demand and Driving Range for Electric Vehicles with Federated Learning
Author: Thorgeirsson, Adam Thor
Publisher: KIT Scientific Publishing
Total Pages: 190
Release: 2024-09-03
Genre:
ISBN: 3731513714

In this work, an extension of the federated averaging algorithm, FedAvg-Gaussian, is applied to train probabilistic neural networks. The performance advantage of probabilistic prediction models is demonstrated and it is shown that federated learning can improve driving range prediction. Using probabilistic predictions, routing and charge planning based on destination attainability can be applied. Furthermore, it is shown that probabilistic predictions lead to reduced travel time.

Trajectory optimization based on recursive B-spline approximation for automated longitudinal control of a battery electric vehicle

Trajectory optimization based on recursive B-spline approximation for automated longitudinal control of a battery electric vehicle
Author: Jauch, Jens
Publisher: KIT Scientific Publishing
Total Pages: 264
Release: 2024-03-01
Genre:
ISBN: 3731513323

This work describes a method for weighted least squares approximation of an unbounded number of data points using a B-spline function. The method can shift the bounded B-spline function definition range during run-time. The approximation method is used for optimizing velocity trajectories for an electric vehicle with respect to travel time, comfort and energy consumption. The trajectory optimization method is extended to a driver assistance system for automated vehicle longitudinal control.

Experimental investigation of relevant road surface descriptors for tire-road noise measurements on low-absorbing road surfaces

Experimental investigation of relevant road surface descriptors for tire-road noise measurements on low-absorbing road surfaces
Author: Pinay, Julien
Publisher: KIT Scientific Publishing
Total Pages: 196
Release: 2024-01-16
Genre:
ISBN: 3731513285

Ihrer Arbeit in der Originalsprache: This work aims at identifying relevant road surface characteristics to mitigate tire-road noise of free-rolling tires using a systematic approach. As using open porous roads is already known as an efficient measure to reduce tire rolling noise, this study will focus on compact road surfaces which have a low acoustic absorption. Measurements on standardized ISO 10844 test tracks and on public roads are used to study the norm's representativity and its completeness.

Measurable Safety of Automated Driving Functions in Commercial Motor Vehicles - Technological and Methodical Approaches

Measurable Safety of Automated Driving Functions in Commercial Motor Vehicles - Technological and Methodical Approaches
Author: Elgharbawy, Mohamed
Publisher: KIT Scientific Publishing
Total Pages: 268
Release: 2023-01-13
Genre: Technology & Engineering
ISBN: 3731512548

With the further development of automated driving, the functional performance increases resulting in the need for new and comprehensive testing concepts. This doctoral work aims to enable the transition from quantitative mileage to qualitative test coverage by aggregating the results of both knowledge-based and data-driven test platforms. The validity of the test domain can be extended cost-effectively throughout the software development process to achieve meaningful test termination criteria.