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Las mejores indicaciones de IA para ingeniería mecánica

La IA impulsa la ingeniería mecánica
Ai ingeniería mecánica
Las herramientas basadas en la inteligencia artificial están revolucionando la ingeniería mecánica al mejorar la optimización del diseño, la velocidad de simulación, el mantenimiento predictivo y la selección de materiales mediante el análisis avanzado de datos y el reconocimiento de patrones.

Las herramientas de IA en línea están transformando rápidamente la ingeniería mecánica al aumentar las capacidades humanas en diseño, análisis, fabricacióny mantenimiento. Estos sistemas de IA pueden procesar grandes cantidades de datos, identificar patrones complejos y generar soluciones novedosas mucho más rápido que los métodos tradicionales. Por ejemplo, la IA puede ayudarle a optimizar el rendimiento y la fabricabilidad de los diseños, acelerar simulaciones complejas, predecir las propiedades de los materiales y automatizar una amplia gama de tareas analíticas.

Las indicaciones que se ofrecen a continuación ayudarán, por ejemplo, en el diseño generativo, acelerarán las simulaciones (FEA/CFD), ayudarán en el mantenimiento predictivo en el que la IA analiza los datos de los sensores de la maquinaria para prever posibles fallos, lo que permite un mantenimiento proactivo y minimiza el tiempo de inactividad, ayudarán en la selección de materiales y mucho más.

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AI Prompt to Root Cause Analysis Report Generator

This prompt instructs the AI to generate a detailed root cause analysis report for a mechanical failure incident based on a provided incident summary, test results, and inspection findings. It synthesizes information into a structured document.

Salida: 

				
					Generate a comprehensive root cause analysis report for the mechanical failure incident described below. Incident Summary: {incident_summary}. Test Results: {test_results}. Inspection Findings: {inspection_findings}. Structure the report with sections: Executive Summary, Problem Description, Analysis Methodology, Root Cause Identification, Recommendations for Prevention, and Conclusion. Use markdown formatting with headings and bullet points where appropriate. Emphasize clarity, technical accuracy, and actionable insights.
							

AI Prompt to Traducción de especificaciones técnicas

Traduce un bloque de especificaciones técnicas de un componente o sistema mecánico de un idioma de origen a un idioma de destino garantizando la precisión terminológica. Esto facilita la colaboración internacional y la documentación del producto. El resultado es el texto traducido.

Salida: 

				
					Act as a Technical Translator specializing in Mechanical Engineering documentation.
Your TASK is to translate the provided `{technical_specifications_text}` from `{source_language_name_or_code}` to `{target_language_name_or_code}`.
You MUST prioritize technical accuracy and the correct translation of specialized mechanical engineering terminology.

**1. Input Parameters**:
    *   `{source_language_name_or_code}`: The language of the input text (e.g.
 'English'
 'German'
 'zh-CN').
    *   `{target_language_name_or_code}`: The language into which the text should be translated (e.g.
 'Spanish'
 'French'
 'ja-JP').
    *   `{technical_specifications_text}`: The block of text containing technical specifications. This may include parameters
 material callouts
 performance data
 testing standards
 etc.

**2. Translation Process**:
    *   **Understand Context**: Parse the `{technical_specifications_text}` to understand the component/system being described.
    *   **Terminology Management**:
        *   Identify key technical terms
 units of measure
 and industry-specific jargon.
        *   Translate these terms with high fidelity
 using established technical equivalents in the `{target_language_name_or_code}`. AVOID literal translations that might be technically incorrect.
        *   Ensure consistency in terminology throughout the translated text.
    *   **Preserve Meaning and Structure**:
        *   Translate not just words
 but the precise technical meaning of each specification point.
        *   Maintain the original formatting (e.g.
 bullet points
 numbered lists
 table-like structures if discernible in plain text) as much as possible in the translated output.
    *   **Units of Measure**:
        *   If units are present (e.g.
 mm
 MPa
 kg)
 generally retain them as they are
 as these are often internationally understood. If conversion is explicitly part of a localization requirement (not requested here but good to be aware of)
 that would be a separate instruction. For this task
 keep units as in source unless the unit name itself needs translation (e.g.
 'pounds' to 'kilograms' is a conversion
 but if the word 'pounds' appeared it would be translated if appropriate). Assume standard SI/metric units are preferred if ambiguity arises and context suggests a technical document for global use.

**3. Output**:
    *   The output MUST be the translated text in the `{target_language_name_or_code}` ONLY.
    *   Do NOT include any of the original `{technical_specifications_text}` unless it's part of a bilingual presentation format (which is not requested here).
    *   Do NOT include any comments or annotations unless specifically part of the original text.

**IMPORTANT**: Accuracy is PARAMOUNT. If a term is highly ambiguous and could have multiple technical translations
 choose the one most commonly accepted in general mechanical engineering for the `{target_language_name_or_code}`. If you are an AI with limitations in translation quality for very specific jargon
 you might add a disclaimer if appropriate
 but the primary goal is the best possible technical translation. Strive for a natural-sounding translation in the target language
 as if written by a native technical expert.
							

AI Prompt to Asistente de redacción de resúmenes de propuestas de subvención

Esta herramienta ayuda a los ingenieros mecánicos a redactar un resumen claro y convincente para una propuesta de subvención. El usuario indica el enfoque de la investigación, los objetivos y el impacto previsto. La IA devuelve un resumen estructurado adecuado para las solicitudes de financiación.

Salida: 

				
					Draft a grant proposal abstract for a mechanical engineering research project with the following details: Research Focus: {research_focus}. Objectives: {objectives}. Expected Impact: {expected_impact}. The abstract should be concise (150-250 words), clearly state the problem, methodology overview, and significance. Use formal, persuasive language and include keywords relevant to mechanical engineering funding agencies. Format the abstract in a single well-structured paragraph.
							

AI Prompt to Simplificación del resumen de investigación

Simplifica el resumen de un trabajo de investigación complejo sobre un tema de ingeniería mecánica en un lenguaje sencillo adecuado para un público de ingeniería general o para la comunicación con no especialistas. Su objetivo es transmitir el mensaje central y el significado sin excesiva jerga. El resultado es un texto.

Salida: 

				
					Act as a Science Communicator with a background in Mechanical Engineering.
Your TASK is to rewrite the provided `{research_paper_abstract_text}` into a simplified version that is clear
 concise
 and understandable to a `{target_audience_description}`.
The goal is to retain the core scientific message
 findings
 and significance while minimizing technical jargon.

**1. Input Details**:
    *   `{research_paper_abstract_text}`: The original abstract from a scientific or engineering research paper.
    *   `{target_audience_description}`: A description of the intended audience for the simplified version (e.g.
 'undergraduate engineering students from other disciplines'
 'project managers with basic technical literacy'
 'marketing team for a tech product'
 'general public interested in technology').

**2. Simplification Process**:
    *   **Identify Core Message**: Read the `{research_paper_abstract_text}` to thoroughly understand:
        *   What problem was addressed? (Background/Motivation)
        *   What was the main approach or method used? (Methodology)
        *   What were the key findings? (Results)
        *   What is the significance or implication of these findings? (Conclusion/Impact)
    *   **Jargon Reduction**:
        *   Identify highly specialized technical terms and acronyms.
        *   Replace them with simpler synonyms or short explanations.
        *   If a technical term is ESSENTIAL and cannot be easily replaced
 provide a brief parenthetical or embedded explanation upon its first use.
    *   **Sentence Structure**:
        *   Break down long
 complex sentences into shorter
 more digestible ones.
        *   Use active voice where possible.
    *   **Focus and Clarity**:
        *   Remove or condense less critical details or overly nuanced points that are not essential for the `{target_audience_description}`.
        *   Focus on conveying the 'big picture' and the practical relevance if any.
        *   Use analogies or relatable examples if appropriate for the audience
 without oversimplifying to the point of inaccuracy.
    *   **Tone and Style**:
        *   Adjust the tone to be engaging and accessible for the `{target_audience_description}`.
        *   Avoid condescending language.

**3. Output Format**:
    *   The output MUST be the simplified abstract as a single block of plain text.
    *   It should typically be shorter than or roughly the same length as the original abstract
 but easier to read.
    *   Start with a sentence that clearly states the main topic or purpose in simple terms.

**Example Structure for Simplified Abstract (internal thought process
 not rigid output format)**:
    *   *The Big Problem:* [Start by explaining the general problem this research addresses in simple terms.]
    *   *What Researchers Did:* [Describe their main activity or method simply.]
    *   *What They Discovered:* [State the most important findings clearly.]
    *   *Why It Matters:* [Explain the significance or potential application/benefit for the target audience.]

**IMPORTANT**: The simplified version MUST remain factually accurate and not misrepresent the original research. The level of simplification should be appropriate for the specified `{target_audience_description}`.
							

AI Prompt to Informe técnico Structure Enhancer

Este aviso guía a la IA para mejorar la claridad, la coherencia y el rigor técnico de un borrador de sección determinado de un informe de ingeniería mecánica. El usuario introduce el texto del borrador y el nombre de la sección del informe para recibir una versión refinada y bien estructurada.

Salida: 

				
					Improve and restructure the following draft section of a mechanical engineering technical report titled '{section_name}': {draft_text}. Enhance clarity, technical accuracy, and flow. Use markdown formatting with appropriate headings, subheadings, and bullet points where necessary. Ensure terminology is precise and consistent. Provide your improved version only, without adding explanations.
							

AI Prompt to Generador de glosarios multilingües

Genera un glosario de términos de ingeniería mecánica proporcionados por el usuario en varios idiomas de destino. Esto ayuda a crear una documentación y comunicación multilingües coherentes. El resultado es un glosario en formato CSV.

Salida: 

				
					Act as an Engineering Lexicographer and Terminology Specialist.
Your TASK is to create a multilingual glossary for a list of English mechanical engineering terms provided in `{technical_terms_list_english_csv}`
 translating them into the languages specified in `{target_languages_iso_codes_csv}`.
You MUST ensure high-quality technical translations.

**1. Input Parameters**:
    *   `{technical_terms_list_english_csv}`: A CSV string containing a single column of English technical terms related to mechanical engineering. The first row can be a header like 'English_Term'.
      Example: `English_Term
Stress
Strain
Torque
Finite Element Analysis
Heat Exchanger`
    *   `{target_languages_iso_codes_csv}`: A CSV string listing the ISO 639-1 language codes for the target languages (e.g.
 'de
fr
es
ja').

**2. Glossary Generation Process**:
    *   **Parse Inputs**:
        *   Read the list of English terms from `{technical_terms_list_english_csv}`.
        *   Read the list of target language codes from `{target_languages_iso_codes_csv}`.
    *   **Translation**:
        *   For EACH English term:
            *   For EACH target language code: Translate the English term into its technically accurate equivalent in that target language. Pay close attention to context within mechanical engineering.
            *   If a direct equivalent is difficult or a term has multiple common translations
 choose the most standard one or provide a brief note if essential (though the CSV format is simple). For this task
 aim for the single best equivalent.
            *   Handle multi-word terms (e.g.
 'Finite Element Analysis') as a single concept for translation.
    *   **Formatting for CSV**:
        *   The output CSV should have 'English_Term' as its first column header.
        *   Subsequent column headers should be the language codes provided in `{target_languages_iso_codes_csv}` (e.g.
 'de'
 'fr'
 'es').
        *   Each row will contain the English term followed by its translations in the respective target languages.

**3. Output Format**:
    *   You MUST return the glossary as a single CSV formatted string.
    *   The first row MUST be the header row as described above.
    *   Ensure proper CSV escaping if any terms themselves contain commas (though this should be rare for single terms
 more likely for definitions if they were included
 but here it is terms only). Assume terms do not contain commas for simplicity.

    Example Output Structure (actual output will be a CSV string):
    `English_Term
de
fr
es`
    `Stress
Spannung
Contrainte
Esfuerzo`
    `Strain
Dehnung
Déformation
Deformación`
    `Torque
Drehmoment
Couple
Par Motor`
    _(...and so on for all terms and all requested languages)

**IMPORTANT**: The quality of translation is CRITICAL. Use your knowledge of technical terminology. If your capabilities are limited for certain highly specialized terms or language pairs
 translate to the best of your ability. Focus on common and unambiguous translations where possible.
							

AI Prompt to Generador de justificaciones presupuestarias

Esta solicitud pide a la IA que genere una justificación detallada del presupuesto para una propuesta de subvención de ingeniería mecánica basada en una tabla CSV de entrada que enumera las partidas presupuestarias, los costes y los objetivos. Ayuda a articular claramente las necesidades de financiación para los revisores.

Salida: 

				
					Given the following CSV table of budget items for a mechanical engineering grant proposal: {csv_budget_items}, generate a detailed budget justification. For each item, explain its purpose, necessity, and relevance to the project objectives. Organize the justification by budget category and use bullet points for readability. Ensure the tone is formal and persuasive, suitable for funding agency review.
							

AI Prompt to Reivindicación de patente Adaptación del lenguaje llano

Reescribe una reivindicación formal de patente en una explicación en lenguaje llano que sea comprensible para un público sin conocimientos jurídicos o técnicos profundos en el área patentada. Esto ayuda a comunicar la esencia de una invención. El resultado es un texto.

Salida: 

				
					Act as a Patent Analyst with skills in technical communication.
Your TASK is to adapt the provided `{patent_claim_text}` into a plain language explanation. The explanation should be understandable to an audience described by `{invention_general_description}` which also provides context about the invention's field.
The goal is to convey the SCOPE and ESSENCE of what the claim protects
 without using legal jargon or overly technical details from the claim itself unless explained.

**1. Input Details**:
    *   `{patent_claim_text}`: The full text of a single patent claim (typically Claim 1
 or another independent claim). Patent claims have a very specific structure
 preamble
 transitional phrase like 'comprising'
 and then a series of elements or limitations.
    *   `{invention_general_description}`: A brief description of what the invention is generally about and its intended audience for this explanation (e.g.
 'This invention is a new type of bicycle braking system
 explain for a product development team including marketing staff.' OR 'This is a software algorithm for optimizing CNC machining paths
 explain for mechanical engineers not specialized in software patents.').

**2. Adaptation Process**:
    *   **Deconstruct the Claim**:
        *   Identify the PREAMBLE (what the invention IS
 e.g.
 'A system for...'
 'A method of...').
        *   Identify the KEY ELEMENTS or steps listed after the transitional phrase (e.g.
 'comprising:'
 'consisting of:'). Each element defines a necessary part of the invention to be covered by the claim.
        *   Understand the RELATIONSHIPS between these elements.
    *   **Simplify Terminology**:
        *   Replace patent-specific legal jargon (e.g.
 'wherein'
 'said'
 'means for') with plain language.
        *   Simplify overly technical terms if possible
 using the `{invention_general_description}` to gauge appropriate vocabulary
 or briefly explain them.
    *   **Explain the Scope**:
        *   Clearly articulate what combination of features or steps defines the invention according to that claim. Emphasize that ALL listed key elements must typically be present for something to fall under the claim.
        *   Use analogies or simple examples if they help clarify the inventive concept
 drawing from the `{invention_general_description}`.
    *   **Focus on 'What it Does' and 'Key Unique Parts'**:
        *   Instead of just listing parts
 explain their function or purpose within the invention
 if clear from the claim.
        *   Highlight what seems to be the core inventive aspect or the main differentiators suggested by the claim's structure.
    *   **Structure for Clarity**:
        *   Use short sentences and paragraphs.
        *   Bullet points can be effective for listing the key components or features in plain language.

**3. Output Format**:
    *   The output MUST be a plain text explanation.
    *   It should start by stating what the invention generally is (drawing from the preamble and `{invention_general_description}`).
    *   Then
 it should break down what the specific claim covers.
    *   It should NOT be a legal opinion
 but an educational simplification.

    Example (Conceptual Flow):
    `This invention is about [general description from input].
Specifically
 this patent claim describes a [preamble in simple terms] that includes several key parts working together:
    *   First
 it has a [simplified element A] that does [function of A].
    *   Second
 there's a [simplified element B]
 which is connected to [element A or other part] and is responsible for [function of B].
    *   Finally
 [simplified element C] ensures that [outcome or function of C].
To be covered by this particular claim
 a system would need to have all these described features and connections.`

**IMPORTANT**: Maintain the technical and conceptual accuracy of the claim's scope. The simplification should not broaden or narrow the claim improperly
 but make its existing scope understandable. Avoid offering any legal advice or infringement opinions.
							

AI Prompt to Generador de resúmenes de reseñas bibliográficas

Esta instrucción le pide a la IA que resuma y sintetice una lista de documentos o artículos académicos relacionados con un tema de ingeniería mecánica proporcionado como una lista de títulos y resúmenes. Produce un resumen estructurado de la revisión bibliográfica.

Salida: 

				
					You are given a list of academic papers related to the mechanical engineering topic: {list_of_papers}. For each paper, summarize the key findings, methodologies, and relevance. Then synthesize the information into a coherent literature review section highlighting gaps, trends, and consensus. Use markdown formatting with headings, bullet points, and italicized paper titles. Provide citations in a consistent style.
							

AI Prompt to Revisión bibliográfica sobre avances materiales

Resume los avances recientes (últimos N años) en una clase específica de materiales centrándose en su aplicación en un área concreta de la ingeniería mecánica. Identifica las principales tendencias de investigación y las publicaciones más innovadoras. El resultado es un resumen en formato markdown.

Salida: 

				
					Act as a Materials Science Research Analyst specializing in Mechanical Engineering applications.
Your TASK is to conduct a concise literature review summarizing recent advancements in `{material_class_name}` with a focus on their application in `{application_area_focus}` over the past `{time_period_years}` years.
You MUST use live internet access to gather information from scholarly articles
 conference proceedings
 and reputable technical sources.

**1. Search Strategy and Information Gathering**:
    *   Define search keywords based on `{material_class_name}` (e.g.
 'High Entropy Alloys'
 'Self-healing Polymers'
 'Metal Matrix Composites'
 'Biodegradable Magnesium Alloys')
 `{application_area_focus}` (e.g.
 'aerospace structural components'
 'biomedical implants'
 'automotive lightweighting'
 'tribological coatings')
 and terms like 'advancements'
 'recent research'
 'trends'
 'review'.
    *   Query academic databases (like Google Scholar
 Scopus
 Web of Science if accessible through your tools) and leading publisher sites (e.g.
 Elsevier
 Springer
 Wiley
 Nature
 Science).
    *   Filter results to the last `{time_period_years}` years.
    *   Prioritize review articles
 highly cited research papers
 and significant breakthrough reports.

**2. Analysis and Synthesis**:
    *   **Identify Key Advancements**: What are the most significant improvements or new discoveries related to `{material_class_name}` in the context of `{application_area_focus}`? This could include:
        *   New processing or manufacturing techniques.
        *   Improved mechanical properties (strength
 toughness
 fatigue resistance
 wear resistance
 etc.).
        *   Enhanced functional properties (e.g.
 corrosion resistance
 thermal stability
 biocompatibility
 self-healing capabilities).
        *   Novel compositions or microstructures.
        *   Successful application examples or case studies.
    *   **Identify Research Trends**: What are the current hot topics or directions in research for this material-application combination?
    *   **Key Researchers/Institutions (Optional
 if prominent)**: Briefly mention any leading research groups if they consistently appear.
    *   **Seminal Publications (2-3 examples)**: Cite (author
 year
 title
 journal if possible
 or just a descriptive reference) a few highly impactful papers from the review period that exemplify these advancements.

**3. Output Format (Markdown)**:
    *   **Title**: Literature Review: Recent Advancements in `{material_class_name}` for `{application_area_focus}` (Last `{time_period_years}` Years).
    *   **1. Introduction**: Briefly introduce `{material_class_name}` and its importance in `{application_area_focus}`.
    *   **2. Key Advancements**: Use subheadings for different categories of advancements if logical
 or a narrative style. Be specific and provide examples.
    *   **3. Current Research Trends**: Summarize the dominant research directions.
    *   **4. Notable Publications**: List 2-3 key papers as described above.
    *   **5. Challenges and Future Outlook**: Briefly discuss any remaining challenges or potential future developments.
    *   **6. Sources Consulted (General Statement)**: Indicate that the review is based on publicly available scholarly literature and state if specific databases were primarily used if known by your tools.

**IMPORTANT**: The summary should be concise yet informative
 targeted at a mechanical engineer looking for an update on the topic. Ensure information is up-to-date by leveraging live internet search. Properly attribute information conceptually if not citing formally (e.g.
 'Research indicates...'
 'Studies have shown...').
							
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    Temas tratados: preguntas de prueba, validación, introducción de datos por el usuario, recogida de datos, mecanismo de retroalimentación, pruebas interactivas, diseño de encuestas, pruebas de usabilidad, evaluación de software, diseño experimental, evaluación del rendimiento, cuestionario, ISO 9241, ISO 25010, ISO 20282, ISO 13407 e ISO 26362...

    1. Wynter

      ¿Estamos asumiendo que la IA siempre puede generar las mejores indicaciones en ingeniería mecánica? ¿Cómo se generan?

    2. Giselle

      ¿Hará la IA innecesarios a los ingenieros humanos?

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