Calculate Embedded Emissions for Unwrought Aluminium (HS7601)
Enter your input
Notes:
There may be a difference when calculating the price with respect to
import volume, carbon price, and benchmark emissions, as the embedded
formula may result in minor variations due to decimal rounding.
Therefore, the actual value may vary.
CBAM is applicable to trade volumes starting from 50 metric tonnes. For trade volumes below 50 metric tonnes, CBAM does not apply.
Usage Procedure – How to use the CBAM Calculator Sheet
Enter or update values only in the
INPUT PARAMETERS section (Highlighted in blue) ,
including the carbon price, benchmark emissions, CBAM chargeable
percentage (as per the phase-in year), and imported quantity.
The system will automatically calculate the
payable emissions and the total CBAM cost (€)
based on the inputs provided.
Notes:
• Change any input value to automatically update CBAM cost.
• Formula used: Carbon price × payable emissions × quantity.
• Model aligned with CBAM supplier-side illustrative methodology.
Login now to unlock Calculate Embedded Emissions for Unwrought Aluminium
"Accurate material models are critical for any CAE analysis," Steven Sheng, Formability Engineer, General Motors
"Accurate material models are critical for any CAE analysis," Steven Sheng, Formability Engineer, General Motors
INTERVIEWEE
Category
Interview
Date
05 Dec 2015
Source
AL Circle
Detail
The 1st GALM summit on Modeling, Simulation and Crash Testing Of Automotive Lightweight Materials will come to Detroit, Michigan on 26-27 January 2016 and bring with it 20+ case studies from OEMs, software developers and material experts. Covering the most important areas from cost efficiency and accuracy in modelling aluminum and composite properties to predicting lightweight material life-cycles and accurate crash simulation, experts at the top of their field will assess the best practices for accurately and efficiently modeling and simulating lightweight materials. Key OEM speakers of the congress include General Motors, Toyota and Honda.
Steven Sheng has worked on a wide variety of sheet metal forming projects at various tier suppliers and is now working as a formability engineer at the General Motor Company. Steven's work particularly focuses on FEM simulation based stamping feasibility analysis, process design, and project management, as well as testing and modeling sheet metal materials. He is one of the key speakers in the Modeling, Simulation and Crash Safety Congress.
An excerpt from his Pre-Conference Interview:
Your presentation at the Crash Simulation Summit will look at the question of predicting fracture in warm forming magnesium alloys. Could you briefly outline the concept for readers and what new knowledge they will be able to take away with them?
Steven Sheng: A method to represent forming limit for warm forming Mg alloy sheet material will be presented. In the method, the strain rate and temperature effect is presented concisely by a single parameter of Zener-Hollomon parameter. Thus, the forming limit can be represented as a Forming Limit Surface.
Traditionally, Forming Limit Curves (FLCs) are used to identify fracture/necking failure in sheet metal forming. At elevated temperatures, the Mg alloys exhibit strong rate sensitivity and thus many FLCs are needed to represent different forming conditions. Those FLCs are not only costly to be obtained but also inconvenient to be used in FEM simulations. In this presentation, a new method to represent forming limit for warm forming Mg alloy sheet material will be introduced. In the method, the strain rate and temperature effect is presented concisely by a single parameter of Zener-Hollomon parameter. Thus, the forming limit can be represented as a Forming Limit Surface.
Since only one surface is needed, the method could reduce the efforts of laboratory testing and provide a convenient tool in the development of thermal forming processes. The usefulness of the Forming Limit Surface is demonstrated by predicting fracture in warm forming magnesium alloy AZ31B in isothermal conical cup test and non-isothermal round cup draw test.
What do you see as the most important hurdles to overcome in implementing CAE and FAE technologies for safety testing of lightweight materials? What optimizations need to be implemented?
Steven Sheng: The accuracy of simulation result, which is affected by many factors, such as material modeling, mesh quality, accuracy of algorithm etc.. The product development can be regarded as a multi-objective optimization problem. Thus, a multi-objective optimization solver, which can be adapted with different CAE solvers, is needed.
What are some of the potential applications and implications of improved material models and more accurate safety simulations to the manufacture of lightweight vehicles?
Steven Sheng: The accuracy of CAE prediction depends on material modeling. Accurate material models are critical for any CAE analysis.
Disclaimer: “The information presented herein is neither intended nor implied to be a substitute for professional advice. The views and opinions shared in the interview section of www.alcircle.com are unique to the interviewees and do not necessarily reflect the viewpoint of www.alcircle.com.”
Unlock full access – sign up for FREE.
Key benefits
Find exclusive data-driven insights and in-depth analysis
Get our daily newsletter delivered straight to your inbox
Access real-time and historical price trends from global indices
We use cookies from our users to operate this website and to improve its usability.
You can find details of what cookies are, why we use them and how you can manage them in our
Cookies page. Please note that by using this site you are consenting to the use of cookies.
Necessary cookies help make a website usable by enabling basic functions like page
navigation and access to secure areas of the website. The website cannot
function properly without these cookies.
Preference cookies enable a website to remember information that changes the way
the website behaves or looks, like your preferred language or the region that you
are in.
Statistic cookies help website owners to understand how visitors interact with
websites by collecting and reporting information anonymously.
Marketing cookies are used to track visitors across websites. The intention
is to display ads that are relevant and engaging for the individual user and
thereby more valuable for publishers and third party advertisers.
Cookies are small text files that can be used by websites to make a user's experience more efficient.
The law states that we can store cookies on your device if they are strictly necessary for the
operation of this site. For all other types of cookies we need your permission.
This site uses different types of cookies. Some cookies are placed by third party services that
appear on our pages.
Your consent applies to the following domains:
google.com,
youtube.com,
doubleclick.net,
zopim.com