The dynamics of Lato Lato ball collisions

算法 人工智能 物理 计算机科学
作者
Edy Wibowo,Naily Ulya,Putut Marwoto,Suwandi Suwandi,Suproyogi
出处
期刊:Physics Education [IOP Publishing]
卷期号:59 (5): 055002-055002
标识
DOI:10.1088/1361-6552/ad5780
摘要

Abstract Lato Lato is a toy that consists of two identical solid balls that are secured together with a rope and can be used as a learning tool in physics. In this study, we examined why the Lato Lato toy uses two balls with the same mass rather than balls with different masses. The collision of the two Lato Lato balls can be considered an elastic collision. The two balls move symmetrically at the same velocity and form a semi-circular route with opposing motion directions when we use Lato Lato with the same ball mass ( m 2 = m 1 ). The angular momentum of the two balls is also the same but in opposite directions, so they cancel each other out. Hence, the two balls travel steadily when Lato Lato is performed. This condition leads to a balanced movement of the Lato Lato system and prevents it from collapsing. On the other hand, because of their disparate masses ( m 2 > m 1 ), the two balls of Lato Lato move in an imbalanced manner. A lighter ball travels farther because it moves more quickly than a heavier ball. The angular momentum of the two balls is in opposite directions but not of the same magnitude, so they do not cancel each other out. This results in unstable movement of the two balls when Lato Lato is played. Therefore, the two balls no longer collide centrally, like in Lato Lato, with the same mass, but the collision is glancing. Then, the motion of the two balls facilitates collapse easily. This work can enrich students’ understanding of collisions beyond the collisions of two objects commonly discussed in textbooks.
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
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
追风应助吃人陈采纳,获得10
刚刚
1秒前
白勺发布了新的文献求助10
1秒前
大模型应助马户的崛起采纳,获得10
3秒前
3秒前
3秒前
上官若男应助金玉采纳,获得10
4秒前
5秒前
555发布了新的文献求助10
5秒前
5秒前
郭鼎睿发布了新的文献求助30
6秒前
liu发布了新的文献求助10
6秒前
6秒前
张一完成签到 ,获得积分10
6秒前
xxx完成签到,获得积分20
6秒前
加油搬砖发布了新的文献求助30
6秒前
可爱的函函应助lily采纳,获得10
6秒前
8秒前
LLC发布了新的文献求助10
8秒前
超级的雨发布了新的文献求助10
8秒前
阳光的语芙完成签到,获得积分10
8秒前
脑洞疼应助柚子成精采纳,获得10
9秒前
10秒前
10秒前
kk完成签到,获得积分20
10秒前
11完成签到 ,获得积分10
10秒前
10秒前
11秒前
11秒前
11秒前
11秒前
12秒前
优秀安彤完成签到,获得积分10
12秒前
眼睛大的白容完成签到,获得积分10
13秒前
13秒前
凯泽尔完成签到,获得积分10
14秒前
随机发布了新的文献求助10
14秒前
nxy发布了新的文献求助10
14秒前
随便填填发布了新的文献求助10
14秒前
彭于晏应助超级的雨采纳,获得10
14秒前
高分求助中
Modern Epidemiology, Fourth Edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Propeller Design 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Handbook of pharmaceutical excipients, Ninth edition 1500
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 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6010750
求助须知:如何正确求助?哪些是违规求助? 7557367
关于积分的说明 16134916
捐赠科研通 5157535
什么是DOI,文献DOI怎么找? 2762405
邀请新用户注册赠送积分活动 1741025
关于科研通互助平台的介绍 1633495