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Research On Molding Design Of Electric Logistics Light Truck Based On Morphological Characteristics

Posted on:2019-05-22Degree:MasterType:Thesis
Country:ChinaCandidate:Y L DengFull Text:PDF
GTID:2322330569979914Subject:Industrial design engineering
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In recent years,due to the increasing environmental pollution,the country give more policy support for the new energy vehicles,and the rapid development of the e-commerce industry has made the related industries usher in the spring of development.,the logistics industry is one of them.In order to better reduce logistics costs,have seized the support of government policies and began to focus more on the use of electric logistics vehicles.Compared with heavy trucks,light trucks are relatively small in size and more flexible.As a result,light trucks are naturally favored by the company as their main transportation vehicle,and their styling design becomes crucial.In this market environment based on user demand,the shape of the electric logistics vehicle must meet the user's inner feelings to have a better market.In recent years,modeling methods based on morphological line theory are mainly used to guide general product design and fuel automobile styling design.There is very little application of design guidance on electric light trucks.This article mainly uses the morphological line theory as a design guide to carry out the design of the electric light truck light truck.Through the morphological characteristic line,the user image positioning and the product own information are well combined to design the model so that it can satisfy the user to the greatest degree.Psychological needs to achieve design goals.This topic carries out the research from two aspects:(1)Introduce the concept of feature lines from the concept of features.Different products have different morphological features because of the different characteristics of their feature lines.This thesis analyzes and classifies the profile characteristics and characteristic lines of the electric light trucks by taking the morphological characteristics line as the end point.Through the feature line extraction experiment,the key feature lines affecting the electric light truck modeling are extracted and classified.In practice,the design of electric light trucks provides reference and theoretical guidance and narrows the scope of research.(2)Explain the concept of visual perceptual dynamics and visual imagery,combine the morphological characteristic lines with the product's visual imagery through visual perceptual dynamics,and explain the appearance of the electric light truck modelling from the basic feature line to the overall imagery.It is because people feel the effect of the inherent force of the product modeling feature line that ultimately produces image perception.Summarize the basic style of morphological characteristic line image expression and the appearance of modeling image on electric vehicle.Through investigation and experiment,it shows the general consumer's perception of electric light truck modeling image.After the morphological characteristic lines have been changed and combined in different forms,a morphological library that expresses different styling images will be generated.This is the basis for morphological modeling based on feature lines.Combined with examples,the extraction and modeling imagery analysis of the main parts of the light-duty truck light trucks were carried out,and a summary of the modeling method and form was made.Based on the above analysis and research,through the use of semantic difference method for the determination of modeling image morphemes,according to the rigid parameters of the Universiade electric logistics light truck to design practice,the entire front face,side and tail of the main design,and finally Verification analysis of image positioning,the design of a new image of the electric light truck and summary of the general method of modeling based on the characteristics of the line.
Keywords/Search Tags:electric logistics light truck, morphological characteristics, visual perceptual power, modeling imagery
PDF Full Text Request
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