A Model for Abrasive-Waterjet (AWJ) Machining

磨料 机械加工 运动学 材料科学 腐蚀 机械工程 穿透深度 流量(数学) 变形(气象学) 机械 工程类 地质学 复合材料 古生物学 物理 光学 经典力学
作者
M. Hashish
出处
期刊:Journal of Engineering Materials and Technology-transactions of The Asme [ASME International]
卷期号:111 (2): 154-162 被引量:241
标识
DOI:10.1115/1.3226448
摘要

Ultrahigh-pressure abrasive-waterjets (AWJs) are being developed as net shape and near-net-shape machining tools for hard-to-machine materials. These tools offer significant advantages over existing techniques, including technical, economical, environmental, and safety concerns. Predicting the cutting results, however, is a difficult task and a major effort in this development process. This paper presents a model for predicting the depth of cut of abrasive-waterjets in different metals. This new model is based on an improved model of erosion by solid particle impact, which is also presented. The erosion model accounts for the physical and geometrical characteristics of the eroding particle and results in a velocity exponent of 2.5, which is in agreement with erosion data in the literature. The erosion model is used with a kinematic jet-solid penetration model to yield expressions for depths of cut according to different modes of erosion along the cutting kerf. This kinematic model was developed previously through visualization of the cutting process. The depth of cut consists of two parts: one due to a cutting wear mode at shallow angles of impact, and the other due to a deformation wear mode at large angles of impact. The predictions of the AWJ cutting model are checked against a large database of cutting results for a wide range of parameters and metal types. Materials are characterized by two properties: the dynamic flow stress, and the threshold particle velocity. The dynamic flow stress used in the erosion model was found to correlate with a typical modulus of elasticity for metals. The threshold particle velocity was determined by best fitting the model to the experimental results. Model predictions agree well with experimental results, with correlation coefficients of over 0.9 for many of the metals considered in this study.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
1秒前
刘小蕊发布了新的文献求助10
3秒前
3秒前
Owen应助认真的涵菱采纳,获得10
3秒前
May_9527发布了新的文献求助20
4秒前
5秒前
鱼鱼发布了新的文献求助10
5秒前
5秒前
5秒前
5秒前
包容野狼完成签到,获得积分10
6秒前
6秒前
kyrie发布了新的文献求助10
7秒前
万能图书馆应助枝挽采纳,获得10
7秒前
7秒前
柴一发布了新的文献求助10
7秒前
7秒前
勤奋完成签到,获得积分10
8秒前
徐嘎嘎发布了新的文献求助10
8秒前
9秒前
10秒前
pluto应助清爽玉米采纳,获得10
10秒前
小二郎应助贾克斯采纳,获得10
10秒前
hammer发布了新的文献求助10
10秒前
良月三十发布了新的文献求助10
10秒前
无辜丹翠发布了新的文献求助10
10秒前
shen5920完成签到,获得积分10
10秒前
善学以致用应助如意慕蕊采纳,获得10
11秒前
11秒前
ding应助Anovel采纳,获得10
11秒前
LHQ发布了新的文献求助30
12秒前
儒雅巧荷完成签到,获得积分10
12秒前
CipherSage应助qzp98采纳,获得10
12秒前
xx完成签到,获得积分10
13秒前
风中雅青完成签到 ,获得积分20
13秒前
傅凡桃发布了新的文献求助10
13秒前
Micro9发布了新的文献求助20
13秒前
14秒前
14秒前
高分求助中
Encyclopedia of Quaternary Science Third edition 2025 12000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
HIGH DYNAMIC RANGE CMOS IMAGE SENSORS FOR LOW LIGHT APPLICATIONS 1500
The Social Work Ethics Casebook: Cases and Commentary (revised 2nd ed.). Frederic G. Reamer 800
Beyond the sentence : discourse and sentential form / edited by Jessica R. Wirth 600
Holistic Discourse Analysis 600
Vertébrés continentaux du Crétacé supérieur de Provence (Sud-Est de la France) 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5343132
求助须知:如何正确求助?哪些是违规求助? 4478698
关于积分的说明 13940563
捐赠科研通 4375705
什么是DOI,文献DOI怎么找? 2404201
邀请新用户注册赠送积分活动 1396695
关于科研通互助平台的介绍 1369094