bluuebunny/crossref_metadata_2025_split huggingface dataset:
Genetic Algorithm-Based Clustering Method to Formulate Standard Specifications for Merchant Ship Preliminary Design
Authors: Gui Chenwei , Zeng Ranyi , Takahashi Kenji , Herai Naoki , Aoyama Kazuhiro 
Published: November 2021

Abstract
In the preliminary design of merchant ships, shipbuilders generally modify some of the standard specifications to fulfill shipowner needs, which is time-consuming owing to the complex techno-economic constraints of ship design. Therefore, an appropriate standard specifications formulation method is necessary to improve the efficiency of the preliminary design. In this study, we performed genetic algorithm-based clustering to determine the subtypes of a specific type of merchant ship and formulated the standard specification for each subtype. To demonstrate the effectiveness of the proposed method, experiments were performed using 98 specification documents to formulate the standard specifications. The results showed that feature relations among each determined subtype were significantly simpler than those of the main type; thereby, the formulated standard specifications were desirable in the preliminary design of merchant ships.
Geometry and Kinematics of Cylindrical Waterbomb Tessellation
Authors: Imada Rinki , Tachi Tomohiro 
Published: November 2021

Abstract
Folded surfaces of origami tessellations have attracted much attention because they sometimes exhibit non-trivial behaviors. It is known that cylindrical folded surfaces of waterbomb tessellation called waterbomb tube can transform into wave-like surfaces, which is a unique phenomenon not observed on other tessellations. However, the theoretical reason why wave-like surfaces arise has been unclear. In this paper, we provide a kinematic model of waterbomb tube by parameterizing the geometry of a module of waterbomb tessellation and derive a recurrence relation between the modules. Through the visualization of the configurations of waterbomb tubes under the proposed kinematic model, we classify solutions into three classes: cylinder solution, wave-like solution, and finite solution. Furthermore, we give proof of the existence of a wave-like solution around one of the cylinder solutions by applying the knowledge of the discrete dynamical system to the recurrence relation.
A Reusable Unit Process Life Cycle Inventory Model for Infeed Centerless Grinding
Authors: Glišić Marija , Veluri Badrinath , Ramanujan Devarajan 
Published: November 2021

Abstract
Environmental impact minimization is an important aspect for improving the sustainability performance of manufacturing processes. Quantifying the environmental impacts of unit manufacturing processes requires systematic modeling of process life cycle inventories. This paper develops an inventory model for infeed centerless grinding based on the unit process life cycle inventory methodology. The developed model estimates the energy consumption, material losses, and consumable fluids, for a typical high-volume production setup. Process consumption data is estimated from parameters directly used for process setup as well as machine and tool specifications that can be easily obtained from technical documentation and product geometrical specification. The developed model is demonstrated using a case study involving the infeed centerless grinding of an Inconel 718 shaft on a Cincinnati Twin-Grip Centerless Grinding Machine.
An Approach for Identifying and Customizing the Effective Ecodesign Tools for Environmentally Sustainable Product Development
Authors: Singh Prashant Kumar , Sarkar Prabir 
Published: November 2021

Abstract
Producing environmentally benign products has now become one of the key challenges of companies across the globe. It can be achieved by utilizing the ecodesign tools in product development process for reducing the environmental impact of products during the design stage itself. Although, the ecodesign tools are available in abundance but there is a lack of studies that can help companies to identify suitable tools. A novel approach has been developed in this study which assists companies to identify and adopt effective ecodesign tools. In this study, three companies related to different product categories are included for testing the proposed approach. Results show that ‘Ecodesign Checklist,’ ‘Material, Energy, Toxicity (MET) Matrix’ and ‘Life Cycle Design Strategy (LiDS) Wheel’ are the three most effective ecodesign tools among the tested tools. Also, it is realized that if these three ecodesign tools are customized and integrated together in a specific sequence then it can be used by the designers, especially novice designers, as an ecodesign methodology. This methodology has the potential to guide designers in the form of a step by step approach during environmentally conscious product development.
A Larger Range Compliant Nano-Manipulator Supporting Electron Beam Lithography
Authors: Liu Yijie , Zhang Zhen 
Published: November 2021

Abstract
Electron beam lithography (EBL) is an important lithographic process of scanning a focused electron beam to direct write a custom pattern with nanometric accuracy. Due to the very limited e-beam field of the focused election beam, a motion stage is needed to move the sample to the e-beam field for processing large patterns. In order to eliminate the stitching error induced by the existing “step and scan” process, we in this paper propose a large range compliant nano-manipulator so that the manipulator and the election beam can be moved in a simultaneous manner. We also present an optimization design for the geometric parameters of the compliant manipulator under the vacuum environment.
Integrating Hedonic Quality for User Experience Modelling
Authors: Tong Yanzhang , Liang Yan , Liu Ying , Hicks Yulia , Spasic Irena 
Published: November 2021

Abstract
Research on user experience (UX) has attracted much attention from designers. Additionally, hedonic quality can help designers understand user interaction (such as attractive, original and innovative) when they experience a product. Realising the user’s interaction state is a significant step for designers to optimise product design and service. Previous UX modelling lacks exploration in user interaction state. Also, the lack of user interaction state factor will reduce the accuracy of the UX modelling. In this paper, we explore the interaction value of online customer review and introduce a new approach to integrating hedonic quality for UX modelling. Firstly, extracting word list from online customer review; Secondly, hedonic quality words are extracted from the word list and added as a hedonic quality part to UX modelling; Thirdly, we compared the analysis result with our previous study for the conclusion. This research combines hedonic quality with UX modelling to enrich modelling in the field of UX for the first time. The proposed data collection method is superior to the traditional collection methods in hedonic quality studies. Extracting hedonic quality factors from online customer reviews can in-depth provide reflections for designers to improve their product design. Furthermore, it also explored the valuable relationship between UX and online customer reviews to provide proactive thinking in user strategy and design activities.
Programmable Stiffness and Applications of 3D Printed TPU Grid Lattices
Authors: Yuan Yifan , Sung Cynthia 
Published: November 2021

Abstract
Additive manufacturing provides a rapid manufacturing method for a variety of materials with different applications. Thermoplastic Polyurethane (TPU) is a soft polymer material that can be 3D printed. In this work, we explore the mechanical properties of a 3D printed grid pattern structure with TPU. By changing the pattern’s cell size and wall thickness parameters, we control the density of the grid lattice and, as a result, the bulk elastic modulus of the structure. We compare simulation and physical compression tests and conclude that the bulk elastic modulus of a print is related to the infill percentage according to a cubic relationship, with higher infill percentage samples resulting in higher elastic moduli. The precise cell size and wall thickness parameter values are minor influences comparatively. The elastic moduli of the resulting samples span from 0.36 MPa with 23.44% infill to 21.83 MPa with 75% infill, compared to an elastic modulus of 64.31 MPa when printing at 100% density. We also explore other factors such as the sample size, the printer, the build orientation, and the sample geometry. The results have uses in a variety of applications, including a custom linear spring, a bistable gripper, or a soft robot finger.
Strut Diameter Uncertainty Prediction by Deep Neural Network for Additively Manufactured Lattice Structures
Authors: Gorguluarslan Recep M. , Ates Gorkem Can , Gungor O. Utku , Yamaner Yusuf 
Published: November 2021

Abstract
Additive manufacturing introduces geometric uncertainties on the fabricated strut members of lattice structures. These uncertainties lead to deviations between the simulation result and the fabricated mechanical performance. Although these uncertainties can be characterized and quantified in the existing literature, the generation of a high number of samples for the quantified uncertainties to use in the computer-aided design of lattice structures for different strut diameters and angles requires high experimental effort and computational cost. The use of deep neural network models to accurately predict the samples of uncertainties is studied in this research to address this issue. For the training data, the geometric uncertainties on the fabricated struts introduced by the material extrusion process are characterized from microscope measurements using random field theory. These uncertainties are propagated to effective diameters of the strut members using a stochastic upscaling technique. The relationship between the deterministic strut model parameters, namely the model diameter and angle, and the effective diameter with propagated uncertainties is established through a deep neural network model. The validation data results show accurate predictions for the effective diameter when model parameters are given as inputs. Thus, the proposed model has the potential to use the fabricated results in the design optimization processes without requiring computationally expensive repetitive simulations.
Actuation-Coordinated Mobile Parallel Robots With Hybrid Mobile and Manipulation Function
Authors: Gan Dongming , Fu Jiaming , Rastgaar Mo , Min Byung-Cheol , Voyles Richard 
Published: November 2021

Abstract
Mobile robots with manipulation capability are a key technology that enables flexible robotic interactions, large area covering and remote exploration. This paper presents a novel class of actuation-coordinated mobile parallel robots (ACMPRs) that utilize parallel mechanism configurations and perform hybrid moving and manipulation functions through coordinated wheel actuators. The ACMPRs differ with existing mobile manipulators by their unique combination of the mobile wheel actuators and the parallel mechanism topology through prismatic joint connections. The common motion of the wheels will provide the mobile function while their differentiation will actuate the parallel manipulator function. This new concept reduces the actuation requirement and increases the manipulation accuracy and mobile motion stability through the coordinated and connected wheel actuators comparing with existing mobile parallel manipulators. The relative wheel location on the base frame also enables a reconfigurable base size with variable moving stability on the ground. The basic concept and general type synthesis are introduced and followed by the kinematics and inverse dynamics analysis of a selected three limb ACMPR. A numerical simulation also illustrates the dynamics model and the motion property of the new mobile parallel robot. The work provides a basis for introducing this new class of robots for potential applications in surveillance, industrial automation, construction, transportation, human assistance, medical applications and other operations in extreme environment such as nuclear plants, Mars, etc.
Assessment of the Run-Out of an Intervertebral Cervical Cage Fabricated by Additive Manufacturing Using Electron Beam Melting
Authors: Cucinotta Filippo , Mineo Rosalia , Raffaele Marcello , Salmeri Fabio 
Published: November 2021

Abstract
Lattice structures made by means of Additive Manufacturing are more and more used in several fields of application. In particular, reticular Titanium alloy bodies are used in biomechanics as fusion devices, due to their biocompatibility and lightweight characteristics. Although these structures have been extensively investigated, it is currently not possible to predict their behavior easily. Indeed, due to the high number of degrees of freedom of the lattice structures, it is usually required to conduct extensive experimental campaigns in order to anticipate the mechanical behavior of complex components.
The present study proposes a method to predict the run-out in an intervertebral cervical cage based on experimental tests conducted on a similar cage and using Finite Element simulations. The cages were made of Ti-6Al-4V ELI by means of Electron Beam Melting. The experimental tests were carried out in accordance with the appropriate ASTM standards. The numerical simulations were consistent with the experimental results and showed a very good agreement.
This methodology helped to identify the most critical issues and to verify a new cage without a second test campaign, which allows both cost and time savings.
Functional Analysis of the Trunk Flexion-Extension Through Gaussian Functions Fitting of the Movement Profile
Authors: Amici Cinzia , Piovanelli Barbara , Ragni Federica , Formicola Raffaele , Cappellini Valter , Candiani Gabriele , Borboni Alberto , Negrini Stefano 
Published: November 2021

Abstract
A healthy mobility of the trunk plays a fundamental role in the activities of daily living. The flexion-extension movement is one of the main tasks evaluated in clinical practice to assess the functionality of the spine. Nevertheless, no fully shared methods are currently available for the clinician to perform quantitative evaluations on the movement quality. In this paper, the trunk flexion-extension task performed by 36 healthy adult subjects, for a total of 104 acquisitions, was acquired with an optoelectronic system of 8 cameras and 32 skin passive optical markers. The absolute displacement of the subject’s seventh thoracic vertebra (T7) was fitted with an asymmetric Gaussian function, comparing the performance of four alternative cost functions in the optimization process. A set of descriptive parameters for the quantitative evaluation of the profile, suitable for the everyday use in the clinical practice, was designed and applied on the current dataset. Statistical analysis was performed on residuals of the fitting process, coefficients of the optimal fitting functions and proposed descriptive parameters, outlining a preliminary description of the trunk flexion-extension movement in the healthy adult.
Mechatronic Design of a Mobile Robot for Personal Assistance
Authors: Tagliavini Luigi , Botta Andrea , Carbonari Luca , Quaglia Giuseppe , Gandini Dario , Chiaberge Marcello 
Published: November 2021

Abstract
In this paper, a novel mobile platform for assistive robotics tasks is presented. The machine is designed for working in a home environment, un-structured and possibly occupied by people. To work in this space, the platform must be able to get rid of all the consequent difficulties: to overpass small objects as steps and carpets, to operate with an as-high-as-possible dynamics, to avoid moving obstacles, and to navigate autonomously to track persons for person monitoring purposes. The proposed platform is designed to have an omni-directional mobility that improves the manoeuvrability with respect to state-of-the-art differential drive robots. It also will have a non-axisymmetric shape to easily navigate narrow spaces, and real-time edge computing algorithms for navigation. This work shows the design paradigm adopted for the realization of a novel mobile robot, named Paquitop. For a robust output, the design process used a modular approach which disjointed the several sub-systems which compose the machine. After a brief analysis of the expected features, a set of basic requirements are drawn to guide the functional and executive design. The overall architecture of the platform is presented, together with some details on the mechanical and electrical systems.
Assessing the Social Impacts of Improved Cookstoves in Peri-Urban and Rural Uganda Using Card Sorting
Authors: Peiffer Erin , MacCarty Nordica 
Published: November 2021

Abstract
Card sorting is one method that can be used to solicit meaningful insight from end users on the design and assessment of technologies. The objective of this paper is to present methods for and results from a card sorting activity exploring the social impacts experienced by households that have adopted improved cookstoves in peri-urban and rural Uganda. Using a framework consisting of eleven social impacts (population change, family, gender, education, stratification, employment, health and well-being, human rights, networks and communication, conflict and crime, and cultural identity/heritage), households were asked to sort the cards into most, somewhat, and least impacted categories with conversations facilitated around each card placement. Results from this activity reaffirmed positive impacts for family, gender, health and well-being, and education that have been well documented in the literature while also identifying social impacts often overlooked in the sector such as changes in networks and communication, cultural identity and heritage, and human rights. Reflections on these results in terms of cookstove design as well as improvements that could be made in future card sorting activities are discussed.
Impact Dynamics in Four-Segment Tilting Pad Journal Bearings Subjected to Pad Fluttering
Authors: Rendl Jan , Smolík Luboš , Dyk Štěpán , Hajžman Michal 
Published: November 2021

Abstract
This paper presents a transient analysis of the motion of unloaded upper pads in a tilting pad journal bearing. It is known that such pads can exhibit self-excited vibration called pad fluttering, which can initiate fatigue damage due to elastic contacts between the fluttering pad and the journal. Unlike previous studies, this work attempts to evaluate forces in the contact. This evaluation is done using a robust nonlinear model, which considers hydrodynamic lubrication, out-of-balance forces and Hertzian contacts. Furthermore, qualitative changes of the bearing’s components motions are analysed in a wide range of journal speeds using bifurcation diagrams, phase portraits and estimates of the largest Lyapunov coefficients. The analysis reveals the intriguing nature of the system, which bifurcates between the periodic motion, period-doubling and chaos.
Computationally Assisted Retrieval and Reuse of 3D Solid Models and Assembly Work Instructions
Authors: Renu Rahul Sharan , Mocko Gregory 
Published: November 2021

Abstract
Many manufacturing enterprises have large collections of solid models and text-based assembly processes to support assembly operations. These data are often distributed across their extended enterprise. As these enterprises expand globally, there is often an increase in product and process variability which can often lead to challenges with training, quality control, and obstacles with change management to name a few. Thus, there is a desire to increase the consistency of assembly work instructions within and across assembly locations.
The objective of this research is to retrieve existing 3d models of components and assemblies and their associated assembly work instructions. This is accomplished using 3d solid model similarity and text mining of assembly work instructions.
Initially, a design study was conducted in which participants authored assembly work instructions for several different solid model assemblies. Next, a geometric similarity algorithm was used to compute similarity scores between solid models and latent semantic analysis is used to compute the similarity between text-based assembly work instructions. Finally, a correlation study between solid model-assembly instruction tuples is computed. A moderately strong positive correlation was found to exist between solid model similarity scores and their associated assembly instruction similarity scores. This indicates that designs with a similar shape have a similar assembly process and thus can serve as the basis for authoring new assembly processes. This aids in resolving differences in existing processes by linking three-dimensional solid models and their associated assembly work instructions.
Topology Optimization for Additively Manufactured Self-Supporting Axisymmetric Structures
Authors: Lee Hak Yong , Carroll Julia D. W. , Guest James K. 
Published: November 2021

Abstract
This paper discusses the design of axisymmetric structures with self-supporting features that can be additively manufactured without requiring internal support structures. This is motivated by wire-fed additive manufacturing processes, many of which can fabricate designs with enclosed pores that inherently exist in many axisymmetric structures, such as double walled pressure vessels. Although enclosed pores are possible, features that rise at shallow angles from the build plate typically cannot be fabricated without the use of support structures, which require removal and thus are unfavorable in such applications. In this paper, an overhang constraint is applied to ensure that all designed features rise at a designer-prescribed self-supporting angle to eliminate the need for such support structures. This is achieved by coupling the projection-based overhang constraint approach with topology optimization and axisymmetric finite elements whose stiffness is interpolated using Solid Isotropic Material with Penalization (SIMP). Gradients are computed with the adjoint method and the Method of Moving Asymptotes (MMA) is employed as the gradient-based optimizer. Two numerical examples related to a canonical pressure vessel and an optical mirror support structure are used to demonstrate the approach. Solutions are shown to satisfy minimum feature size requirements and designer-prescribed (process dependent) overhang constraint angles, while providing clear and crisp representations of topology. As observed in past works on overhang constraints, a clear trade-off is illustrated between the magnitude of the overhang constraint angle and the structural performance (mass or stiffness), with more strict requirements producing designs with lower performance.