In high-speed and high precision machining, cornering acceleration profiles of the feed motion are always not smooth enough and cause severe inertial vibrations in feed drive system, which severely affect machining quality and elongate machining time. In view of this problem, many experts and scholars have proposed kinematic corner smoothing algorithms based on the jerk limited acceleration profile from the perspective of kinematics that generate continuous acceleration transition profiles. But continuous acceleration profiles still have non-differentiable points. In order to further generate smooth and continuous acceleration transition profiles, an acceleration smoothing algorithm based on the jounce limited acceleration profile is proposed in this paper. Firstly, by adding different velocity, acceleration, and displacement boundary conditions to the jounce limited acceleration profile and combined with user-specified contour error, the fastest cornering velocity is deduced. Next, by the fastest cornering velocity and motion performance of the motor driver, the cornering duration is deduced. Finally, smooth acceleration and velocity transition profiles can be controlled analytically by accurately calculating cornering duration. The proposed algorithms are divided into interrupted acceleration smoothing algorithm and uninterrupted acceleration smoothing algorithm based on additional different acceleration boundary conditions. Through the experimental analysis and comparison, the proposed algorithms can reduce overall machining time around 6–7% and deliver curvature smoothing motion profiles, curvature continuous velocity profiles, and tangent continuous acceleration profiles. The proposed algorithms achieve smooth acceleration transitions and improve machining quality.
The International Journal of Advanced Manufacturing Technology – Springer Journals
Published: Nov 10, 2017
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera